Overview

Dataset statistics

Number of variables100
Number of observations1012050
Missing cells0
Missing cells (%)0.0%
Total size in memory779.9 MiB
Average record size in memory808.0 B

Variable types

Numeric100

Alerts

EXT1_E is highly skewed (γ1 = 238.5999164)Skewed
EXT2_E is highly skewed (γ1 = 295.93165)Skewed
EXT3_E is highly skewed (γ1 = 801.3758727)Skewed
EXT4_E is highly skewed (γ1 = 296.2374247)Skewed
EXT5_E is highly skewed (γ1 = 430.9702132)Skewed
EXT6_E is highly skewed (γ1 = 343.3390904)Skewed
EXT7_E is highly skewed (γ1 = 934.1610646)Skewed
EXT8_E is highly skewed (γ1 = 473.8442549)Skewed
EXT9_E is highly skewed (γ1 = 503.6033894)Skewed
EXT10_E is highly skewed (γ1 = 989.8777325)Skewed
EST1_E is highly skewed (γ1 = 745.5455309)Skewed
EST2_E is highly skewed (γ1 = 411.3467616)Skewed
EST3_E is highly skewed (γ1 = 502.9456276)Skewed
EST4_E is highly skewed (γ1 = 765.8469759)Skewed
EST5_E is highly skewed (γ1 = 943.2971226)Skewed
EST6_E is highly skewed (γ1 = 381.6700015)Skewed
EST7_E is highly skewed (γ1 = 284.2581361)Skewed
EST8_E is highly skewed (γ1 = 978.6267425)Skewed
EST9_E is highly skewed (γ1 = 488.0318496)Skewed
EST10_E is highly skewed (γ1 = 360.7584899)Skewed
AGR1_E is highly skewed (γ1 = 433.5328327)Skewed
AGR2_E is highly skewed (γ1 = 446.0193741)Skewed
AGR3_E is highly skewed (γ1 = 291.8052277)Skewed
AGR4_E is highly skewed (γ1 = 352.2600161)Skewed
AGR5_E is highly skewed (γ1 = 944.0118145)Skewed
AGR6_E is highly skewed (γ1 = 324.4145724)Skewed
AGR7_E is highly skewed (γ1 = 532.6253585)Skewed
AGR8_E is highly skewed (γ1 = 924.0689062)Skewed
AGR9_E is highly skewed (γ1 = 327.5786335)Skewed
AGR10_E is highly skewed (γ1 = 563.6834841)Skewed
CSN1_E is highly skewed (γ1 = 384.6374151)Skewed
CSN2_E is highly skewed (γ1 = 275.2434636)Skewed
CSN3_E is highly skewed (γ1 = 703.4795966)Skewed
CSN4_E is highly skewed (γ1 = 339.2750663)Skewed
CSN5_E is highly skewed (γ1 = 843.8599846)Skewed
CSN6_E is highly skewed (γ1 = 877.1429408)Skewed
CSN7_E is highly skewed (γ1 = 319.5573964)Skewed
CSN8_E is highly skewed (γ1 = 271.9721158)Skewed
CSN9_E is highly skewed (γ1 = 613.7706632)Skewed
CSN10_E is highly skewed (γ1 = 916.7903446)Skewed
OPN1_E is highly skewed (γ1 = 506.6484062)Skewed
OPN2_E is highly skewed (γ1 = 629.1515913)Skewed
OPN3_E is highly skewed (γ1 = 284.8078183)Skewed
OPN4_E is highly skewed (γ1 = 690.6539963)Skewed
OPN5_E is highly skewed (γ1 = 308.3895223)Skewed
OPN6_E is highly skewed (γ1 = 311.5222072)Skewed
OPN7_E is highly skewed (γ1 = 430.0212931)Skewed
OPN8_E is highly skewed (γ1 = 445.5810573)Skewed
OPN9_E is highly skewed (γ1 = 604.0841125)Skewed
OPN10_E is highly skewed (γ1 = 517.2746803)Skewed
EST4 has 10640 (1.1%) zerosZeros
EST6 has 10837 (1.1%) zerosZeros
AGR6 has 10348 (1.0%) zerosZeros
CSN1 has 12174 (1.2%) zerosZeros
EXT2_E has 11364 (1.1%) zerosZeros
EXT3_E has 11064 (1.1%) zerosZeros
EXT4_E has 11699 (1.2%) zerosZeros
EXT5_E has 14293 (1.4%) zerosZeros
EXT6_E has 10567 (1.0%) zerosZeros
EXT7_E has 12364 (1.2%) zerosZeros
EXT8_E has 10494 (1.0%) zerosZeros
EXT9_E has 10730 (1.1%) zerosZeros
EST1_E has 13128 (1.3%) zerosZeros
EST2_E has 14668 (1.4%) zerosZeros
EST3_E has 10401 (1.0%) zerosZeros
EST4_E has 15163 (1.5%) zerosZeros
EST5_E has 10512 (1.0%) zerosZeros
EST6_E has 15082 (1.5%) zerosZeros
EST7_E has 10408 (1.0%) zerosZeros
EST8_E has 11291 (1.1%) zerosZeros
EST9_E has 10197 (1.0%) zerosZeros
EST10_E has 10857 (1.1%) zerosZeros
AGR1_E has 10523 (1.0%) zerosZeros
AGR2_E has 14510 (1.4%) zerosZeros
AGR4_E has 12416 (1.2%) zerosZeros
AGR5_E has 11014 (1.1%) zerosZeros
AGR6_E has 14685 (1.5%) zerosZeros
AGR7_E has 10512 (1.0%) zerosZeros
AGR8_E has 12607 (1.2%) zerosZeros
AGR10_E has 12199 (1.2%) zerosZeros
CSN1_E has 17559 (1.7%) zerosZeros
CSN2_E has 11613 (1.1%) zerosZeros
CSN3_E has 11008 (1.1%) zerosZeros
CSN4_E has 11503 (1.1%) zerosZeros
CSN5_E has 12265 (1.2%) zerosZeros
CSN6_E has 10931 (1.1%) zerosZeros
CSN7_E has 11466 (1.1%) zerosZeros
CSN8_E has 12067 (1.2%) zerosZeros
CSN9_E has 11404 (1.1%) zerosZeros
CSN10_E has 12392 (1.2%) zerosZeros
OPN1_E has 14534 (1.4%) zerosZeros
OPN2_E has 10993 (1.1%) zerosZeros
OPN3_E has 12397 (1.2%) zerosZeros
OPN4_E has 11243 (1.1%) zerosZeros
OPN5_E has 12055 (1.2%) zerosZeros
OPN6_E has 12363 (1.2%) zerosZeros
OPN7_E has 12620 (1.2%) zerosZeros
OPN8_E has 11898 (1.2%) zerosZeros
OPN9_E has 11543 (1.1%) zerosZeros

Reproduction

Analysis started2024-04-26 15:05:04.660718
Analysis finished2024-04-26 15:05:06.745738
Duration2.09 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

EXT1
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.647891903
Minimum0
Maximum5
Zeros3717
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:06.808748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.264476091
Coefficient of variation (CV)0.4775406766
Kurtosis-1.002846909
Mean2.647891903
Median Absolute Deviation (MAD)1
Skewness0.1441613277
Sum2679799
Variance1.598899784
MonotonicityNot monotonic
2024-04-26T20:50:06.872780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 288087
28.5%
1 249403
24.6%
2 198907
19.7%
4 191359
18.9%
5 80577
 
8.0%
0 3717
 
0.4%
ValueCountFrequency (%)
0 3717
 
0.4%
1 249403
24.6%
2 198907
19.7%
3 288087
28.5%
4 191359
18.9%
ValueCountFrequency (%)
5 80577
 
8.0%
4 191359
18.9%
3 288087
28.5%
2 198907
19.7%
1 249403
24.6%

EXT2
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.773242429
Minimum0
Maximum5
Zeros6091
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:06.932269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.323982013
Coefficient of variation (CV)0.4774130092
Kurtosis-1.049388403
Mean2.773242429
Median Absolute Deviation (MAD)1
Skewness0.146821711
Sum2806660
Variance1.752928371
MonotonicityNot monotonic
2024-04-26T20:50:06.992987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 244322
24.1%
2 235137
23.2%
1 209781
20.7%
4 189956
18.8%
5 126763
12.5%
0 6091
 
0.6%
ValueCountFrequency (%)
0 6091
 
0.6%
1 209781
20.7%
2 235137
23.2%
3 244322
24.1%
4 189956
18.8%
ValueCountFrequency (%)
5 126763
12.5%
4 189956
18.8%
3 244322
24.1%
2 235137
23.2%
1 209781
20.7%

EXT3
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.288202164
Minimum0
Maximum5
Zeros6070
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:07.056250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.215082785
Coefficient of variation (CV)0.3695280049
Kurtosis-0.7312305739
Mean3.288202164
Median Absolute Deviation (MAD)1
Skewness-0.2847579052
Sum3327825
Variance1.476426175
MonotonicityNot monotonic
2024-04-26T20:50:07.092656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 283670
28.0%
3 268693
26.5%
2 191497
18.9%
5 185488
18.3%
1 76632
 
7.6%
0 6070
 
0.6%
ValueCountFrequency (%)
0 6070
 
0.6%
1 76632
 
7.6%
2 191497
18.9%
3 268693
26.5%
4 283670
28.0%
ValueCountFrequency (%)
5 185488
18.3%
4 283670
28.0%
3 268693
26.5%
2 191497
18.9%
1 76632
 
7.6%

EXT4
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.140698582
Minimum0
Maximum5
Zeros6886
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:07.127492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.237472534
Coefficient of variation (CV)0.3940118739
Kurtosis-0.8086895591
Mean3.140698582
Median Absolute Deviation (MAD)1
Skewness-0.175953269
Sum3178544
Variance1.531338271
MonotonicityNot monotonic
2024-04-26T20:50:07.163222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 279681
27.6%
4 256806
25.4%
2 207888
20.5%
5 158928
15.7%
1 101861
 
10.1%
0 6886
 
0.7%
ValueCountFrequency (%)
0 6886
 
0.7%
1 101861
 
10.1%
2 207888
20.5%
3 279681
27.6%
4 256806
25.4%
ValueCountFrequency (%)
5 158928
15.7%
4 256806
25.4%
3 279681
27.6%
2 207888
20.5%
1 101861
 
10.1%

EXT5
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.276805494
Minimum0
Maximum5
Zeros9761
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:07.197926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.277636175
Coefficient of variation (CV)0.3899029643
Kurtosis-0.7656627395
Mean3.276805494
Median Absolute Deviation (MAD)1
Skewness-0.3698725628
Sum3316291
Variance1.632354196
MonotonicityNot monotonic
2024-04-26T20:50:07.236004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 298781
29.5%
3 234063
23.1%
5 192813
19.1%
2 178281
17.6%
1 98351
 
9.7%
0 9761
 
1.0%
ValueCountFrequency (%)
0 9761
 
1.0%
1 98351
 
9.7%
2 178281
17.6%
3 234063
23.1%
4 298781
29.5%
ValueCountFrequency (%)
5 192813
19.1%
4 298781
29.5%
3 234063
23.1%
2 178281
17.6%
1 98351
 
9.7%

EXT6
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.401118522
Minimum0
Maximum5
Zeros6181
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:07.271911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.225811623
Coefficient of variation (CV)0.5105169163
Kurtosis-0.619048201
Mean2.401118522
Median Absolute Deviation (MAD)1
Skewness0.5512020512
Sum2430052
Variance1.502614136
MonotonicityNot monotonic
2024-04-26T20:50:07.309372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 337682
33.4%
1 266184
26.3%
3 191087
18.9%
4 139337
13.8%
5 71579
 
7.1%
0 6181
 
0.6%
ValueCountFrequency (%)
0 6181
 
0.6%
1 266184
26.3%
2 337682
33.4%
3 191087
18.9%
4 139337
13.8%
ValueCountFrequency (%)
5 71579
 
7.1%
4 139337
13.8%
3 191087
18.9%
2 337682
33.4%
1 266184
26.3%

EXT7
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.771527098
Minimum0
Maximum5
Zeros8169
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:07.344866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.40034829
Coefficient of variation (CV)0.5052623482
Kurtosis-1.201427534
Mean2.771527098
Median Absolute Deviation (MAD)1
Skewness0.1497360881
Sum2804924
Variance1.960975333
MonotonicityNot monotonic
2024-04-26T20:50:07.380372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 236496
23.4%
2 227487
22.5%
4 197080
19.5%
3 194478
19.2%
5 148340
14.7%
0 8169
 
0.8%
ValueCountFrequency (%)
0 8169
 
0.8%
1 236496
23.4%
2 227487
22.5%
3 194478
19.2%
4 197080
19.5%
ValueCountFrequency (%)
5 148340
14.7%
4 197080
19.5%
3 194478
19.2%
2 227487
22.5%
1 236496
23.4%

EXT8
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.414798676
Minimum0
Maximum5
Zeros6365
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:07.414146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.271953652
Coefficient of variation (CV)0.3724827647
Kurtosis-0.8000464927
Mean3.414798676
Median Absolute Deviation (MAD)1
Skewness-0.3952424582
Sum3455947
Variance1.617866092
MonotonicityNot monotonic
2024-04-26T20:50:07.450128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 274541
27.1%
5 247984
24.5%
3 229599
22.7%
2 175505
17.3%
1 78056
 
7.7%
0 6365
 
0.6%
ValueCountFrequency (%)
0 6365
 
0.6%
1 78056
 
7.7%
2 175505
17.3%
3 229599
22.7%
4 274541
27.1%
ValueCountFrequency (%)
5 247984
24.5%
4 274541
27.1%
3 229599
22.7%
2 175505
17.3%
1 78056
 
7.7%

EXT9
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.963760684
Minimum0
Maximum5
Zeros6837
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:07.484441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.346053412
Coefficient of variation (CV)0.4541707498
Kurtosis-1.125426991
Mean2.963760684
Median Absolute Deviation (MAD)1
Skewness-0.04572678364
Sum2999474
Variance1.811859788
MonotonicityNot monotonic
2024-04-26T20:50:07.520495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 241981
23.9%
2 220978
21.8%
3 214622
21.2%
1 173108
17.1%
5 154524
15.3%
0 6837
 
0.7%
ValueCountFrequency (%)
0 6837
 
0.7%
1 173108
17.1%
2 220978
21.8%
3 214622
21.2%
4 241981
23.9%
ValueCountFrequency (%)
5 154524
15.3%
4 241981
23.9%
3 214622
21.2%
2 220978
21.8%
1 173108
17.1%

EXT10
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.556569339
Minimum0
Maximum5
Zeros6258
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:07.554711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.305248742
Coefficient of variation (CV)0.366996568
Kurtosis-0.760963959
Mean3.556569339
Median Absolute Deviation (MAD)1
Skewness-0.5436894342
Sum3599426
Variance1.703674277
MonotonicityNot monotonic
2024-04-26T20:50:07.591517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 312501
30.9%
4 267835
26.5%
3 191047
18.9%
2 158031
15.6%
1 76378
 
7.5%
0 6258
 
0.6%
ValueCountFrequency (%)
0 6258
 
0.6%
1 76378
 
7.5%
2 158031
15.6%
3 191047
18.9%
4 267835
26.5%
ValueCountFrequency (%)
5 312501
30.9%
4 267835
26.5%
3 191047
18.9%
2 158031
15.6%
1 76378
 
7.5%

EST1
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.285993775
Minimum0
Maximum5
Zeros7784
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:07.626265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.345608154
Coefficient of variation (CV)0.4094980837
Kurtosis-0.9866270681
Mean3.285993775
Median Absolute Deviation (MAD)1
Skewness-0.3310724247
Sum3325590
Variance1.810661304
MonotonicityNot monotonic
2024-04-26T20:50:07.661760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 270037
26.7%
5 230445
22.8%
3 203273
20.1%
2 182887
18.1%
1 117624
11.6%
0 7784
 
0.8%
ValueCountFrequency (%)
0 7784
 
0.8%
1 117624
11.6%
2 182887
18.1%
3 203273
20.1%
4 270037
26.7%
ValueCountFrequency (%)
5 230445
22.8%
4 270037
26.7%
3 203273
20.1%
2 182887
18.1%
1 117624
11.6%

EST2
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.16496517
Minimum0
Maximum5
Zeros9565
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:07.795984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.228296019
Coefficient of variation (CV)0.3880914806
Kurtosis-0.7508075156
Mean3.16496517
Median Absolute Deviation (MAD)1
Skewness-0.2233250673
Sum3203103
Variance1.50871111
MonotonicityNot monotonic
2024-04-26T20:50:07.831814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 279356
27.6%
3 262110
25.9%
2 218362
21.6%
5 154992
15.3%
1 87665
 
8.7%
0 9565
 
0.9%
ValueCountFrequency (%)
0 9565
 
0.9%
1 87665
 
8.7%
2 218362
21.6%
3 262110
25.9%
4 279356
27.6%
ValueCountFrequency (%)
5 154992
15.3%
4 279356
27.6%
3 262110
25.9%
2 218362
21.6%
1 87665
 
8.7%

EST3
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.846475965
Minimum0
Maximum5
Zeros5506
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:07.866664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.163424834
Coefficient of variation (CV)0.3024651251
Kurtosis0.2238253767
Mean3.846475965
Median Absolute Deviation (MAD)1
Skewness-0.9538230611
Sum3892826
Variance1.353557344
MonotonicityNot monotonic
2024-04-26T20:50:07.903323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 360043
35.6%
5 351815
34.8%
3 148050
14.6%
2 102793
 
10.2%
1 43843
 
4.3%
0 5506
 
0.5%
ValueCountFrequency (%)
0 5506
 
0.5%
1 43843
 
4.3%
2 102793
 
10.2%
3 148050
14.6%
4 360043
35.6%
ValueCountFrequency (%)
5 351815
34.8%
4 360043
35.6%
3 148050
14.6%
2 102793
 
10.2%
1 43843
 
4.3%

EST4
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.66350872
Minimum0
Maximum5
Zeros10640
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:07.938761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.252981548
Coefficient of variation (CV)0.4704251721
Kurtosis-0.817884057
Mean2.66350872
Median Absolute Deviation (MAD)1
Skewness0.2354777888
Sum2695604
Variance1.569962759
MonotonicityNot monotonic
2024-04-26T20:50:07.974948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 289354
28.6%
3 252474
24.9%
1 191278
18.9%
4 173324
17.1%
5 94980
 
9.4%
0 10640
 
1.1%
ValueCountFrequency (%)
0 10640
 
1.1%
1 191278
18.9%
2 289354
28.6%
3 252474
24.9%
4 173324
17.1%
ValueCountFrequency (%)
5 94980
 
9.4%
4 173324
17.1%
3 252474
24.9%
2 289354
28.6%
1 191278
18.9%

EST5
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.842890173
Minimum0
Maximum5
Zeros6092
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:08.010178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.273899024
Coefficient of variation (CV)0.448099978
Kurtosis-1.017228685
Mean2.842890173
Median Absolute Deviation (MAD)1
Skewness0.06684223168
Sum2877147
Variance1.622818723
MonotonicityNot monotonic
2024-04-26T20:50:08.046542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 265364
26.2%
4 235625
23.3%
3 227085
22.4%
1 166689
16.5%
5 111195
11.0%
0 6092
 
0.6%
ValueCountFrequency (%)
0 6092
 
0.6%
1 166689
16.5%
2 265364
26.2%
3 227085
22.4%
4 235625
23.3%
ValueCountFrequency (%)
5 111195
11.0%
4 235625
23.3%
3 227085
22.4%
2 265364
26.2%
1 166689
16.5%

EST6
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.841069117
Minimum0
Maximum5
Zeros10837
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:08.081338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.326568865
Coefficient of variation (CV)0.466925939
Kurtosis-1.059431694
Mean2.841069117
Median Absolute Deviation (MAD)1
Skewness0.05497042307
Sum2875304
Variance1.759784954
MonotonicityNot monotonic
2024-04-26T20:50:08.116874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 254404
25.1%
4 226875
22.4%
3 212999
21.0%
1 178669
17.7%
5 128266
12.7%
0 10837
 
1.1%
ValueCountFrequency (%)
0 10837
 
1.1%
1 178669
17.7%
2 254404
25.1%
3 212999
21.0%
4 226875
22.4%
ValueCountFrequency (%)
5 128266
12.7%
4 226875
22.4%
3 212999
21.0%
2 254404
25.1%
1 178669
17.7%

EST7
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.050390791
Minimum0
Maximum5
Zeros6297
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:08.150995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.293036322
Coefficient of variation (CV)0.4238920226
Kurtosis-1.01551201
Mean3.050390791
Median Absolute Deviation (MAD)1
Skewness-0.07338931752
Sum3087148
Variance1.67194293
MonotonicityNot monotonic
2024-04-26T20:50:08.186952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 244750
24.2%
2 240023
23.7%
3 232677
23.0%
5 160442
15.9%
1 127861
12.6%
0 6297
 
0.6%
ValueCountFrequency (%)
0 6297
 
0.6%
1 127861
12.6%
2 240023
23.7%
3 232677
23.0%
4 244750
24.2%
ValueCountFrequency (%)
5 160442
15.9%
4 244750
24.2%
3 232677
23.0%
2 240023
23.7%
1 127861
12.6%

EST8
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.683424732
Minimum0
Maximum5
Zeros7381
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:08.221147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.343042408
Coefficient of variation (CV)0.5004956511
Kurtosis-1.088095844
Mean2.683424732
Median Absolute Deviation (MAD)1
Skewness0.2336546867
Sum2715760
Variance1.803762911
MonotonicityNot monotonic
2024-04-26T20:50:08.257220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 260206
25.7%
1 233768
23.1%
3 199061
19.7%
4 193773
19.1%
5 117861
11.6%
0 7381
 
0.7%
ValueCountFrequency (%)
0 7381
 
0.7%
1 233768
23.1%
2 260206
25.7%
3 199061
19.7%
4 193773
19.1%
ValueCountFrequency (%)
5 117861
11.6%
4 193773
19.1%
3 199061
19.7%
2 260206
25.7%
1 233768
23.1%

EST9
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.088464009
Minimum0
Maximum5
Zeros6365
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:08.294688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.297149265
Coefficient of variation (CV)0.4199981807
Kurtosis-1.028781532
Mean3.088464009
Median Absolute Deviation (MAD)1
Skewness-0.1622333605
Sum3125680
Variance1.682596216
MonotonicityNot monotonic
2024-04-26T20:50:08.333498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 282788
27.9%
2 226665
22.4%
3 210219
20.8%
5 156132
15.4%
1 129881
12.8%
0 6365
 
0.6%
ValueCountFrequency (%)
0 6365
 
0.6%
1 129881
12.8%
2 226665
22.4%
3 210219
20.8%
4 282788
27.9%
ValueCountFrequency (%)
5 156132
15.4%
4 282788
27.9%
3 210219
20.8%
2 226665
22.4%
1 129881
12.8%

EST10
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.773686083
Minimum0
Maximum5
Zeros7150
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:08.370725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.323210269
Coefficient of variation (CV)0.4770584087
Kurtosis-1.071014623
Mean2.773686083
Median Absolute Deviation (MAD)1
Skewness0.1411389434
Sum2807109
Variance1.750885416
MonotonicityNot monotonic
2024-04-26T20:50:08.409800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 254032
25.1%
3 218870
21.6%
4 207519
20.5%
1 202509
20.0%
5 121970
12.1%
0 7150
 
0.7%
ValueCountFrequency (%)
0 7150
 
0.7%
1 202509
20.0%
2 254032
25.1%
3 218870
21.6%
4 207519
20.5%
ValueCountFrequency (%)
5 121970
12.1%
4 207519
20.5%
3 218870
21.6%
2 254032
25.1%
1 202509
20.0%

AGR1
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.255253199
Minimum0
Maximum5
Zeros4952
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:08.447710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.339967006
Coefficient of variation (CV)0.5941536882
Kurtosis-0.7160324082
Mean2.255253199
Median Absolute Deviation (MAD)1
Skewness0.7243695611
Sum2282429
Variance1.795511577
MonotonicityNot monotonic
2024-04-26T20:50:08.485717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 396021
39.1%
2 259244
25.6%
4 134261
 
13.3%
3 128492
 
12.7%
5 89080
 
8.8%
0 4952
 
0.5%
ValueCountFrequency (%)
0 4952
 
0.5%
1 396021
39.1%
2 259244
25.6%
3 128492
 
12.7%
4 134261
 
13.3%
ValueCountFrequency (%)
5 89080
 
8.8%
4 134261
 
13.3%
3 128492
 
12.7%
2 259244
25.6%
1 396021
39.1%

AGR2
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.831074552
Minimum0
Maximum5
Zeros9270
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:08.520134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.140676062
Coefficient of variation (CV)0.2977431126
Kurtosis0.4852982914
Mean3.831074552
Median Absolute Deviation (MAD)1
Skewness-0.9533110096
Sum3877239
Variance1.301141878
MonotonicityNot monotonic
2024-04-26T20:50:08.557120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 353732
35.0%
5 337292
33.3%
3 187379
18.5%
2 89337
 
8.8%
1 35040
 
3.5%
0 9270
 
0.9%
ValueCountFrequency (%)
0 9270
 
0.9%
1 35040
 
3.5%
2 89337
 
8.8%
3 187379
18.5%
4 353732
35.0%
ValueCountFrequency (%)
5 337292
33.3%
4 353732
35.0%
3 187379
18.5%
2 89337
 
8.8%
1 35040
 
3.5%

AGR3
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.260069167
Minimum0
Maximum5
Zeros5013
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:08.592782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.277359115
Coefficient of variation (CV)0.5651858509
Kurtosis-0.8063692819
Mean2.260069167
Median Absolute Deviation (MAD)1
Skewness0.6023058284
Sum2287303
Variance1.631646309
MonotonicityNot monotonic
2024-04-26T20:50:08.628377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 382652
37.8%
2 239095
23.6%
3 174694
17.3%
4 150601
 
14.9%
5 59995
 
5.9%
0 5013
 
0.5%
ValueCountFrequency (%)
0 5013
 
0.5%
1 382652
37.8%
2 239095
23.6%
3 174694
17.3%
4 150601
 
14.9%
ValueCountFrequency (%)
5 59995
 
5.9%
4 150601
 
14.9%
3 174694
17.3%
2 239095
23.6%
1 382652
37.8%

AGR4
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.927384023
Minimum0
Maximum5
Zeros7627
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:08.662516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.127817531
Coefficient of variation (CV)0.2871676222
Kurtosis0.7772971049
Mean3.927384023
Median Absolute Deviation (MAD)1
Skewness-1.104752534
Sum3974709
Variance1.271972384
MonotonicityNot monotonic
2024-04-26T20:50:08.699193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 374089
37.0%
4 367099
36.3%
3 145282
 
14.4%
2 82069
 
8.1%
1 35884
 
3.5%
0 7627
 
0.8%
ValueCountFrequency (%)
0 7627
 
0.8%
1 35884
 
3.5%
2 82069
 
8.1%
3 145282
 
14.4%
4 367099
36.3%
ValueCountFrequency (%)
5 374089
37.0%
4 367099
36.3%
3 145282
 
14.4%
2 82069
 
8.1%
1 35884
 
3.5%

AGR5
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.27097673
Minimum0
Maximum5
Zeros6516
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:08.735757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.171295175
Coefficient of variation (CV)0.5157671406
Kurtosis-0.3209092649
Mean2.27097673
Median Absolute Deviation (MAD)1
Skewness0.6859939005
Sum2298342
Variance1.371932386
MonotonicityNot monotonic
2024-04-26T20:50:08.774594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 361814
35.8%
1 291915
28.8%
3 179841
17.8%
4 116544
 
11.5%
5 55420
 
5.5%
0 6516
 
0.6%
ValueCountFrequency (%)
0 6516
 
0.6%
1 291915
28.8%
2 361814
35.8%
3 179841
17.8%
4 116544
 
11.5%
ValueCountFrequency (%)
5 55420
 
5.5%
4 116544
 
11.5%
3 179841
17.8%
2 361814
35.8%
1 291915
28.8%

AGR6
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.742915864
Minimum0
Maximum5
Zeros10348
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:08.811518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.222529816
Coefficient of variation (CV)0.3266249792
Kurtosis0.06360425732
Mean3.742915864
Median Absolute Deviation (MAD)1
Skewness-0.8714131823
Sum3788018
Variance1.494579151
MonotonicityNot monotonic
2024-04-26T20:50:08.848832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 332534
32.9%
4 328874
32.5%
3 183259
18.1%
2 103040
 
10.2%
1 53995
 
5.3%
0 10348
 
1.0%
ValueCountFrequency (%)
0 10348
 
1.0%
1 53995
 
5.3%
2 103040
 
10.2%
3 183259
18.1%
4 328874
32.5%
ValueCountFrequency (%)
5 332534
32.9%
4 328874
32.5%
3 183259
18.1%
2 103040
 
10.2%
1 53995
 
5.3%

AGR7
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.195915222
Minimum0
Maximum5
Zeros6294
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:08.884730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.120416531
Coefficient of variation (CV)0.51022759
Kurtosis-0.1824958347
Mean2.195915222
Median Absolute Deviation (MAD)1
Skewness0.7191514367
Sum2222376
Variance1.255333204
MonotonicityNot monotonic
2024-04-26T20:50:08.924724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 368701
36.4%
1 307469
30.4%
3 181255
17.9%
4 107915
 
10.7%
5 40416
 
4.0%
0 6294
 
0.6%
ValueCountFrequency (%)
0 6294
 
0.6%
1 307469
30.4%
2 368701
36.4%
3 181255
17.9%
4 107915
 
10.7%
ValueCountFrequency (%)
5 40416
 
4.0%
4 107915
 
10.7%
3 181255
17.9%
2 368701
36.4%
1 307469
30.4%

AGR8
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.689354281
Minimum0
Maximum5
Zeros8519
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:08.961757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.095672668
Coefficient of variation (CV)0.2969822317
Kurtosis0.380151757
Mean3.689354281
Median Absolute Deviation (MAD)1
Skewness-0.8144899624
Sum3733811
Variance1.200498595
MonotonicityNot monotonic
2024-04-26T20:50:08.997534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 406128
40.1%
5 244053
24.1%
3 215270
21.3%
2 105144
 
10.4%
1 32936
 
3.3%
0 8519
 
0.8%
ValueCountFrequency (%)
0 8519
 
0.8%
1 32936
 
3.3%
2 105144
 
10.4%
3 215270
21.3%
4 406128
40.1%
ValueCountFrequency (%)
5 244053
24.1%
4 406128
40.1%
3 215270
21.3%
2 105144
 
10.4%
1 32936
 
3.3%

AGR9
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.78896596
Minimum0
Maximum5
Zeros6051
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:09.031507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.166871542
Coefficient of variation (CV)0.3079656967
Kurtosis0.1980732809
Mean3.78896596
Median Absolute Deviation (MAD)1
Skewness-0.919899853
Sum3834623
Variance1.361589195
MonotonicityNot monotonic
2024-04-26T20:50:09.068873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 376119
37.2%
5 319995
31.6%
3 159363
15.7%
2 101561
 
10.0%
1 48961
 
4.8%
0 6051
 
0.6%
ValueCountFrequency (%)
0 6051
 
0.6%
1 48961
 
4.8%
2 101561
 
10.0%
3 159363
15.7%
4 376119
37.2%
ValueCountFrequency (%)
5 319995
31.6%
4 376119
37.2%
3 159363
15.7%
2 101561
 
10.0%
1 48961
 
4.8%

AGR10
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.592282002
Minimum0
Maximum5
Zeros8393
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:09.104255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.080854163
Coefficient of variation (CV)0.3008823257
Kurtosis0.2205678553
Mean3.592282002
Median Absolute Deviation (MAD)1
Skewness-0.6184573435
Sum3635569
Variance1.168245722
MonotonicityNot monotonic
2024-04-26T20:50:09.141790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 348178
34.4%
3 303697
30.0%
5 220538
21.8%
2 97832
 
9.7%
1 33412
 
3.3%
0 8393
 
0.8%
ValueCountFrequency (%)
0 8393
 
0.8%
1 33412
 
3.3%
2 97832
 
9.7%
3 303697
30.0%
4 348178
34.4%
ValueCountFrequency (%)
5 220538
21.8%
4 348178
34.4%
3 303697
30.0%
2 97832
 
9.7%
1 33412
 
3.3%

CSN1
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.298019861
Minimum0
Maximum5
Zeros12174
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:09.178129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.176829612
Coefficient of variation (CV)0.3568291464
Kurtosis-0.3549690586
Mean3.298019861
Median Absolute Deviation (MAD)1
Skewness-0.4694692236
Sum3337761
Variance1.384927935
MonotonicityNot monotonic
2024-04-26T20:50:09.215727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 344331
34.0%
3 267468
26.4%
2 171568
17.0%
5 149597
14.8%
1 66912
 
6.6%
0 12174
 
1.2%
ValueCountFrequency (%)
0 12174
 
1.2%
1 66912
 
6.6%
2 171568
17.0%
3 267468
26.4%
4 344331
34.0%
ValueCountFrequency (%)
5 149597
14.8%
4 344331
34.0%
3 267468
26.4%
2 171568
17.0%
1 66912
 
6.6%

CSN2
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.930392767
Minimum0
Maximum5
Zeros6429
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:09.251283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.390053518
Coefficient of variation (CV)0.4743574082
Kurtosis-1.228258681
Mean2.930392767
Median Absolute Deviation (MAD)1
Skewness-0.02834928711
Sum2965704
Variance1.932248783
MonotonicityNot monotonic
2024-04-26T20:50:09.287059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 244268
24.1%
2 208421
20.6%
1 202987
20.1%
3 190461
18.8%
5 159484
15.8%
0 6429
 
0.6%
ValueCountFrequency (%)
0 6429
 
0.6%
1 202987
20.1%
2 208421
20.6%
3 190461
18.8%
4 244268
24.1%
ValueCountFrequency (%)
5 159484
15.8%
4 244268
24.1%
3 190461
18.8%
2 208421
20.6%
1 202987
20.1%

CSN3
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.975329282
Minimum0
Maximum5
Zeros6054
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:09.321891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.044747137
Coefficient of variation (CV)0.2628076978
Kurtosis0.9472475549
Mean3.975329282
Median Absolute Deviation (MAD)1
Skewness-1.065837844
Sum4023232
Variance1.091496579
MonotonicityNot monotonic
2024-04-26T20:50:09.358637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 379539
37.5%
5 369854
36.5%
3 162567
16.1%
2 74069
 
7.3%
1 19967
 
2.0%
0 6054
 
0.6%
ValueCountFrequency (%)
0 6054
 
0.6%
1 19967
 
2.0%
2 74069
 
7.3%
3 162567
16.1%
4 379539
37.5%
ValueCountFrequency (%)
5 369854
36.5%
4 379539
37.5%
3 162567
16.1%
2 74069
 
7.3%
1 19967
 
2.0%

CSN4
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.617923028
Minimum0
Maximum5
Zeros6816
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:09.394071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.251814615
Coefficient of variation (CV)0.478170902
Kurtosis-0.8904241745
Mean2.617923028
Median Absolute Deviation (MAD)1
Skewness0.2766213714
Sum2649469
Variance1.567039831
MonotonicityNot monotonic
2024-04-26T20:50:09.430357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 291857
28.8%
3 230332
22.8%
1 214140
21.2%
4 183906
18.2%
5 84999
 
8.4%
0 6816
 
0.7%
ValueCountFrequency (%)
0 6816
 
0.7%
1 214140
21.2%
2 291857
28.8%
3 230332
22.8%
4 183906
18.2%
ValueCountFrequency (%)
5 84999
 
8.4%
4 183906
18.2%
3 230332
22.8%
2 291857
28.8%
1 214140
21.2%

CSN5
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.62574774
Minimum0
Maximum5
Zeros7827
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:09.465852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.274672651
Coefficient of variation (CV)0.4854512988
Kurtosis-0.9031301784
Mean2.62574774
Median Absolute Deviation (MAD)1
Skewness0.2734431266
Sum2657388
Variance1.624790366
MonotonicityNot monotonic
2024-04-26T20:50:09.502386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 276158
27.3%
3 237647
23.5%
1 221477
21.9%
4 174051
17.2%
5 94890
 
9.4%
0 7827
 
0.8%
ValueCountFrequency (%)
0 7827
 
0.8%
1 221477
21.9%
2 276158
27.3%
3 237647
23.5%
4 174051
17.2%
ValueCountFrequency (%)
5 94890
 
9.4%
4 174051
17.2%
3 237647
23.5%
2 276158
27.3%
1 221477
21.9%

CSN6
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8318008
Minimum0
Maximum5
Zeros6647
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:09.537193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.416195792
Coefficient of variation (CV)0.5001043124
Kurtosis-1.269804146
Mean2.8318008
Median Absolute Deviation (MAD)1
Skewness0.1170504823
Sum2865924
Variance2.005610522
MonotonicityNot monotonic
2024-04-26T20:50:09.573049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 243048
24.0%
1 222964
22.0%
4 213701
21.1%
3 163195
16.1%
5 162495
16.1%
0 6647
 
0.7%
ValueCountFrequency (%)
0 6647
 
0.7%
1 222964
22.0%
2 243048
24.0%
3 163195
16.1%
4 213701
21.1%
ValueCountFrequency (%)
5 162495
16.1%
4 213701
21.1%
3 163195
16.1%
2 243048
24.0%
1 222964
22.0%

CSN7
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.698249098
Minimum0
Maximum5
Zeros7286
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:09.607451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.128096897
Coefficient of variation (CV)0.305035401
Kurtosis0.2129310278
Mean3.698249098
Median Absolute Deviation (MAD)1
Skewness-0.7922552335
Sum3742813
Variance1.272602609
MonotonicityNot monotonic
2024-04-26T20:50:09.644689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 370004
36.6%
5 269686
26.6%
3 227312
22.5%
2 94669
 
9.4%
1 43093
 
4.3%
0 7286
 
0.7%
ValueCountFrequency (%)
0 7286
 
0.7%
1 43093
 
4.3%
2 94669
 
9.4%
3 227312
22.5%
4 370004
36.6%
ValueCountFrequency (%)
5 269686
26.6%
4 370004
36.6%
3 227312
22.5%
2 94669
 
9.4%
1 43093
 
4.3%

CSN8
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.465242824
Minimum0
Maximum5
Zeros8131
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:09.679878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.141016678
Coefficient of variation (CV)0.4628414964
Kurtosis-0.6104883413
Mean2.465242824
Median Absolute Deviation (MAD)1
Skewness0.2697813623
Sum2494949
Variance1.301919059
MonotonicityNot monotonic
2024-04-26T20:50:09.716540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 315700
31.2%
2 273806
27.1%
1 234822
23.2%
4 132540
13.1%
5 47051
 
4.6%
0 8131
 
0.8%
ValueCountFrequency (%)
0 8131
 
0.8%
1 234822
23.2%
2 273806
27.1%
3 315700
31.2%
4 132540
13.1%
ValueCountFrequency (%)
5 47051
 
4.6%
4 132540
13.1%
3 315700
31.2%
2 273806
27.1%
1 234822
23.2%

CSN9
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.200684749
Minimum0
Maximum5
Zeros7498
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:09.751273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.276311813
Coefficient of variation (CV)0.3987621128
Kurtosis-0.8718698387
Mean3.200684749
Median Absolute Deviation (MAD)1
Skewness-0.2940061853
Sum3239253
Variance1.628971844
MonotonicityNot monotonic
2024-04-26T20:50:09.788387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 299022
29.5%
3 230010
22.7%
2 193075
19.1%
5 171135
16.9%
1 111310
 
11.0%
0 7498
 
0.7%
ValueCountFrequency (%)
0 7498
 
0.7%
1 111310
 
11.0%
2 193075
19.1%
3 230010
22.7%
4 299022
29.5%
ValueCountFrequency (%)
5 171135
16.9%
4 299022
29.5%
3 230010
22.7%
2 193075
19.1%
1 111310
 
11.0%

CSN10
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.590666469
Minimum0
Maximum5
Zeros8692
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:09.823344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.053259892
Coefficient of variation (CV)0.2933327005
Kurtosis0.3319145794
Mean3.590666469
Median Absolute Deviation (MAD)1
Skewness-0.6003699421
Sum3633934
Variance1.1093564
MonotonicityNot monotonic
2024-04-26T20:50:09.972971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 353525
34.9%
3 316844
31.3%
5 210087
20.8%
2 95965
 
9.5%
1 26937
 
2.7%
0 8692
 
0.9%
ValueCountFrequency (%)
0 8692
 
0.9%
1 26937
 
2.7%
2 95965
 
9.5%
3 316844
31.3%
4 353525
34.9%
ValueCountFrequency (%)
5 210087
20.8%
4 353525
34.9%
3 316844
31.3%
2 95965
 
9.5%
1 26937
 
2.7%

OPN1
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.654832271
Minimum0
Maximum5
Zeros9184
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:10.008541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.157124769
Coefficient of variation (CV)0.3166013331
Kurtosis0.04867401358
Mean3.654832271
Median Absolute Deviation (MAD)1
Skewness-0.7148204092
Sum3698873
Variance1.338937732
MonotonicityNot monotonic
2024-04-26T20:50:10.045164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 331532
32.8%
5 274328
27.1%
3 250908
24.8%
2 102283
 
10.1%
1 43815
 
4.3%
0 9184
 
0.9%
ValueCountFrequency (%)
0 9184
 
0.9%
1 43815
 
4.3%
2 102283
 
10.1%
3 250908
24.8%
4 331532
32.8%
ValueCountFrequency (%)
5 274328
27.1%
4 331532
32.8%
3 250908
24.8%
2 102283
 
10.1%
1 43815
 
4.3%

OPN2
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.07570377
Minimum0
Maximum5
Zeros5936
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:10.080129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.112574209
Coefficient of variation (CV)0.5359985491
Kurtosis-0.07986551213
Mean2.07570377
Median Absolute Deviation (MAD)1
Skewness0.8090240306
Sum2100716
Variance1.23782137
MonotonicityNot monotonic
2024-04-26T20:50:10.117273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 379557
37.5%
2 317113
31.3%
3 185837
18.4%
4 88613
 
8.8%
5 34994
 
3.5%
0 5936
 
0.6%
ValueCountFrequency (%)
0 5936
 
0.6%
1 379557
37.5%
2 317113
31.3%
3 185837
18.4%
4 88613
 
8.8%
ValueCountFrequency (%)
5 34994
 
3.5%
4 88613
 
8.8%
3 185837
18.4%
2 317113
31.3%
1 379557
37.5%

OPN3
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.000128452
Minimum0
Maximum5
Zeros7578
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:10.152497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.097177027
Coefficient of variation (CV)0.2742854486
Kurtosis0.8229382244
Mean4.000128452
Median Absolute Deviation (MAD)1
Skewness-1.0895175
Sum4048330
Variance1.203797428
MonotonicityNot monotonic
2024-04-26T20:50:10.187521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 420453
41.5%
4 313710
31.0%
3 174200
17.2%
2 72516
 
7.2%
1 23593
 
2.3%
0 7578
 
0.7%
ValueCountFrequency (%)
0 7578
 
0.7%
1 23593
 
2.3%
2 72516
 
7.2%
3 174200
17.2%
4 313710
31.0%
ValueCountFrequency (%)
5 420453
41.5%
4 313710
31.0%
3 174200
17.2%
2 72516
 
7.2%
1 23593
 
2.3%

OPN4
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.999646263
Minimum0
Maximum5
Zeros6657
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:10.221779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.090222279
Coefficient of variation (CV)0.5452075696
Kurtosis0.1477802257
Mean1.999646263
Median Absolute Deviation (MAD)1
Skewness0.8928410838
Sum2023742
Variance1.188584617
MonotonicityNot monotonic
2024-04-26T20:50:10.257055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 413184
40.8%
2 301369
29.8%
3 188717
18.6%
4 68946
 
6.8%
5 33177
 
3.3%
0 6657
 
0.7%
ValueCountFrequency (%)
0 6657
 
0.7%
1 413184
40.8%
2 301369
29.8%
3 188717
18.6%
4 68946
 
6.8%
ValueCountFrequency (%)
5 33177
 
3.3%
4 68946
 
6.8%
3 188717
18.6%
2 301369
29.8%
1 413184
40.8%

OPN5
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7930705
Minimum0
Maximum5
Zeros7675
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:10.291735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9924004442
Coefficient of variation (CV)0.261635117
Kurtosis0.9263624832
Mean3.7930705
Median Absolute Deviation (MAD)1
Skewness-0.7969176914
Sum3838777
Variance0.9848586416
MonotonicityNot monotonic
2024-04-26T20:50:10.327240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 395077
39.0%
3 272565
26.9%
5 261192
25.8%
2 59273
 
5.9%
1 16268
 
1.6%
0 7675
 
0.8%
ValueCountFrequency (%)
0 7675
 
0.8%
1 16268
 
1.6%
2 59273
 
5.9%
3 272565
26.9%
4 395077
39.0%
ValueCountFrequency (%)
5 261192
25.8%
4 395077
39.0%
3 272565
26.9%
2 59273
 
5.9%
1 16268
 
1.6%

OPN6
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.894523986
Minimum0
Maximum5
Zeros8120
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:10.362593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.104077075
Coefficient of variation (CV)0.5827728142
Kurtosis0.6349856447
Mean1.894523986
Median Absolute Deviation (MAD)1
Skewness1.148952404
Sum1917353
Variance1.218986187
MonotonicityNot monotonic
2024-04-26T20:50:10.398452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 467024
46.1%
2 307824
30.4%
3 118668
 
11.7%
4 73393
 
7.3%
5 37021
 
3.7%
0 8120
 
0.8%
ValueCountFrequency (%)
0 8120
 
0.8%
1 467024
46.1%
2 307824
30.4%
3 118668
 
11.7%
4 73393
 
7.3%
ValueCountFrequency (%)
5 37021
 
3.7%
4 73393
 
7.3%
3 118668
 
11.7%
2 307824
30.4%
1 467024
46.1%

OPN7
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.976501161
Minimum0
Maximum5
Zeros8460
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:10.432495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.008545165
Coefficient of variation (CV)0.2536262719
Kurtosis1.520640072
Mean3.976501161
Median Absolute Deviation (MAD)1
Skewness-1.123921263
Sum4024418
Variance1.017163349
MonotonicityNot monotonic
2024-04-26T20:50:10.468093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 401332
39.7%
5 349745
34.6%
3 180758
17.9%
2 56336
 
5.6%
1 15419
 
1.5%
0 8460
 
0.8%
ValueCountFrequency (%)
0 8460
 
0.8%
1 15419
 
1.5%
2 56336
 
5.6%
3 180758
17.9%
4 401332
39.7%
ValueCountFrequency (%)
5 349745
34.6%
4 401332
39.7%
3 180758
17.9%
2 56336
 
5.6%
1 15419
 
1.5%

OPN8
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.182712317
Minimum0
Maximum5
Zeros8018
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:10.501833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.255385517
Coefficient of variation (CV)0.3944388913
Kurtosis-0.817226462
Mean3.182712317
Median Absolute Deviation (MAD)1
Skewness-0.2624013296
Sum3221064
Variance1.575992797
MonotonicityNot monotonic
2024-04-26T20:50:10.538769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 286140
28.3%
3 251759
24.9%
2 198022
19.6%
5 164268
16.2%
1 103843
 
10.3%
0 8018
 
0.8%
ValueCountFrequency (%)
0 8018
 
0.8%
1 103843
 
10.3%
2 198022
19.6%
3 251759
24.9%
4 286140
28.3%
ValueCountFrequency (%)
5 164268
16.2%
4 286140
28.3%
3 251759
24.9%
2 198022
19.6%
1 103843
 
10.3%

OPN9
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.123179685
Minimum0
Maximum5
Zeros7682
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:10.573522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.041207686
Coefficient of variation (CV)0.252525421
Kurtosis1.824314845
Mean4.123179685
Median Absolute Deviation (MAD)1
Skewness-1.366528696
Sum4172864
Variance1.084113445
MonotonicityNot monotonic
2024-04-26T20:50:10.609223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 456173
45.1%
4 343829
34.0%
3 127869
 
12.6%
2 56579
 
5.6%
1 19918
 
2.0%
0 7682
 
0.8%
ValueCountFrequency (%)
0 7682
 
0.8%
1 19918
 
2.0%
2 56579
 
5.6%
3 127869
 
12.6%
4 343829
34.0%
ValueCountFrequency (%)
5 456173
45.1%
4 343829
34.0%
3 127869
 
12.6%
2 56579
 
5.6%
1 19918
 
2.0%

OPN10
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.958640383
Minimum0
Maximum5
Zeros6171
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.4 MiB
2024-04-26T20:50:10.644526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.034485576
Coefficient of variation (CV)0.2613234534
Kurtosis0.7400899016
Mean3.958640383
Median Absolute Deviation (MAD)1
Skewness-0.9427383234
Sum4006342
Variance1.070160406
MonotonicityNot monotonic
2024-04-26T20:50:10.683031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 371248
36.7%
4 342825
33.9%
3 211764
20.9%
2 63468
 
6.3%
1 16574
 
1.6%
0 6171
 
0.6%
ValueCountFrequency (%)
0 6171
 
0.6%
1 16574
 
1.6%
2 63468
 
6.3%
3 211764
20.9%
4 342825
33.9%
ValueCountFrequency (%)
5 371248
36.7%
4 342825
33.9%
3 211764
20.9%
2 63468
 
6.3%
1 16574
 
1.6%

EXT1_E
Real number (ℝ)

SKEWED 

Distinct88850
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95156.92421
Minimum-42958762
Maximum2147483647
Zeros9418
Zeros (%)0.9%
Negative25
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:10.728617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-42958762
5-th percentile2748
Q14793
median7334
Q312238
95-th percentile48811.1
Maximum2147483647
Range2190442409
Interquartile range (IQR)7445

Descriptive statistics

Standard deviation4870176.396
Coefficient of variation (CV)51.18047306
Kurtosis86214.39051
Mean95156.92421
Median Absolute Deviation (MAD)3113
Skewness238.5999164
Sum9.630356514 × 1010
Variance2.371861813 × 1013
MonotonicityNot monotonic
2024-04-26T20:50:10.777136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9418
 
0.9%
4620 149
 
< 0.1%
4605 147
 
< 0.1%
4125 142
 
< 0.1%
4944 140
 
< 0.1%
4780 139
 
< 0.1%
3627 138
 
< 0.1%
4167 138
 
< 0.1%
5320 138
 
< 0.1%
4585 137
 
< 0.1%
Other values (88840) 1001364
98.9%
ValueCountFrequency (%)
-42958762 1
< 0.1%
-3575104 1
< 0.1%
-3560651 1
< 0.1%
-2559875 1
< 0.1%
-126396 1
< 0.1%
ValueCountFrequency (%)
2147483647 2
< 0.1%
1205348096 1
< 0.1%
1106464607 1
< 0.1%
1039338288 1
< 0.1%
702600059 1
< 0.1%

EXT2_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct32872
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8345.314701
Minimum-75632
Maximum261773449
Zeros11364
Zeros (%)1.1%
Negative16
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:10.825841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-75632
5-th percentile1268
Q12384
median3418
Q35084
95-th percentile11174
Maximum261773449
Range261849081
Interquartile range (IQR)2700

Descriptive statistics

Standard deviation562951.0019
Coefficient of variation (CV)67.45713279
Kurtosis107771.8637
Mean8345.314701
Median Absolute Deviation (MAD)1230
Skewness295.93165
Sum8445875743
Variance3.169138306 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:10.876505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11364
 
1.1%
2584 559
 
0.1%
2600 551
 
0.1%
2784 538
 
0.1%
2384 536
 
0.1%
2800 524
 
0.1%
2400 513
 
0.1%
2352 512
 
0.1%
2200 509
 
0.1%
2984 500
 
< 0.1%
Other values (32862) 995944
98.4%
ValueCountFrequency (%)
-75632 1
< 0.1%
-30925 1
< 0.1%
-19268 1
< 0.1%
-14305 1
< 0.1%
-8191 1
< 0.1%
ValueCountFrequency (%)
261773449 1
< 0.1%
237351323 1
< 0.1%
196659639 1
< 0.1%
148532323 1
< 0.1%
140423460 1
< 0.1%

EXT3_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct35249
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11646.32462
Minimum-3593866
Maximum2147483647
Zeros11064
Zeros (%)1.1%
Negative17
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:10.925481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3593866
5-th percentile1396
Q12461
median3483
Q35150
95-th percentile11383
Maximum2147483647
Range2151077513
Interquartile range (IQR)2689

Descriptive statistics

Standard deviation2329843.63
Coefficient of variation (CV)200.04969
Kurtosis718998.7675
Mean11646.32462
Median Absolute Deviation (MAD)1217
Skewness801.3758727
Sum1.178666284 × 1010
Variance5.42817134 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:10.973980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11064
 
1.1%
2784 600
 
0.1%
2800 586
 
0.1%
2200 564
 
0.1%
2384 558
 
0.1%
2600 555
 
0.1%
2400 545
 
0.1%
2584 543
 
0.1%
2568 527
 
0.1%
2184 524
 
0.1%
Other values (35239) 995984
98.4%
ValueCountFrequency (%)
-3593866 1
< 0.1%
-31577 1
< 0.1%
-23081 1
< 0.1%
-17398 1
< 0.1%
-17081 1
< 0.1%
ValueCountFrequency (%)
2147483647 1
< 0.1%
605905746 1
< 0.1%
338495246 1
< 0.1%
334821511 1
< 0.1%
285972720 1
< 0.1%

EXT4_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct38954
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7547.091911
Minimum-2494907
Maximum168711199
Zeros11699
Zeros (%)1.2%
Negative20
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:11.021461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2494907
5-th percentile1254
Q12402
median3478
Q35249
95-th percentile12557
Maximum168711199
Range171206106
Interquartile range (IQR)2847

Descriptive statistics

Standard deviation323609.0175
Coefficient of variation (CV)42.87863739
Kurtosis111284.4171
Mean7547.091911
Median Absolute Deviation (MAD)1285
Skewness296.2374247
Sum7638034369
Variance1.047227962 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:11.072281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11699
 
1.2%
3000 511
 
0.1%
2600 510
 
0.1%
2552 509
 
0.1%
2200 507
 
0.1%
3200 506
 
< 0.1%
2384 503
 
< 0.1%
2616 502
 
< 0.1%
2400 499
 
< 0.1%
2584 497
 
< 0.1%
Other values (38944) 995807
98.4%
ValueCountFrequency (%)
-2494907 1
< 0.1%
-102128 1
< 0.1%
-99234 1
< 0.1%
-73178 1
< 0.1%
-21888 1
< 0.1%
ValueCountFrequency (%)
168711199 1
< 0.1%
98150966 1
< 0.1%
93008300 1
< 0.1%
86497205 1
< 0.1%
79482346 1
< 0.1%

EXT5_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct31746
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7145.113793
Minimum-58566
Maximum351067965
Zeros14293
Zeros (%)1.4%
Negative19
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:11.122053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-58566
5-th percentile1222
Q12119
median3005
Q34505
95-th percentile9994
Maximum351067965
Range351126531
Interquartile range (IQR)2386

Descriptive statistics

Standard deviation602824.5487
Coefficient of variation (CV)84.36878211
Kurtosis211528.8954
Mean7145.113793
Median Absolute Deviation (MAD)1065
Skewness430.9702132
Sum7231212414
Variance3.633974365 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:11.172381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14293
 
1.4%
2000 677
 
0.1%
2200 675
 
0.1%
1984 662
 
0.1%
2384 660
 
0.1%
2400 621
 
0.1%
2184 621
 
0.1%
2216 603
 
0.1%
2600 598
 
0.1%
2168 594
 
0.1%
Other values (31736) 992046
98.0%
ValueCountFrequency (%)
-58566 1
< 0.1%
-35030 1
< 0.1%
-22392 1
< 0.1%
-13760 1
< 0.1%
-12586 1
< 0.1%
ValueCountFrequency (%)
351067965 1
< 0.1%
280134051 1
< 0.1%
270215604 1
< 0.1%
189978794 1
< 0.1%
101758516 1
< 0.1%

EXT6_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct30474
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7457.201946
Minimum-79860
Maximum316490638
Zeros10567
Zeros (%)1.0%
Negative18
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:11.222521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-79860
5-th percentile1219
Q12176
median3113
Q34621
95-th percentile9821
Maximum316490638
Range316570498
Interquartile range (IQR)2445

Descriptive statistics

Standard deviation567975.8144
Coefficient of variation (CV)76.16473558
Kurtosis149536.1259
Mean7457.201946
Median Absolute Deviation (MAD)1112
Skewness343.3390904
Sum7547061229
Variance3.225965257 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:11.271915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10567
 
1.0%
2400 602
 
0.1%
2200 599
 
0.1%
2000 595
 
0.1%
2384 586
 
0.1%
2216 585
 
0.1%
2016 572
 
0.1%
2600 556
 
0.1%
1984 553
 
0.1%
1800 551
 
0.1%
Other values (30464) 996284
98.4%
ValueCountFrequency (%)
-79860 1
< 0.1%
-75780 1
< 0.1%
-69202 1
< 0.1%
-28211 1
< 0.1%
-16008 1
< 0.1%
ValueCountFrequency (%)
316490638 1
< 0.1%
246406040 1
< 0.1%
166382065 1
< 0.1%
143588188 1
< 0.1%
114071318 1
< 0.1%

EXT7_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct36331
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10904.79697
Minimum-3594255
Maximum2147483647
Zeros12364
Zeros (%)1.2%
Negative20
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:11.321923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3594255
5-th percentile1589
Q13048
median4349
Q36299
95-th percentile12680
Maximum2147483647
Range2151077902
Interquartile range (IQR)3251

Descriptive statistics

Standard deviation2191754.862
Coefficient of variation (CV)200.9899741
Kurtosis911189.1767
Mean10904.79697
Median Absolute Deviation (MAD)1517
Skewness934.1610646
Sum1.103619978 × 1010
Variance4.803789375 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:11.370602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12364
 
1.2%
3000 441
 
< 0.1%
3400 431
 
< 0.1%
3600 422
 
< 0.1%
2784 419
 
< 0.1%
3200 410
 
< 0.1%
2984 408
 
< 0.1%
3168 405
 
< 0.1%
3184 400
 
< 0.1%
4000 394
 
< 0.1%
Other values (36321) 995956
98.4%
ValueCountFrequency (%)
-3594255 1
< 0.1%
-117913 1
< 0.1%
-89610 1
< 0.1%
-84773 1
< 0.1%
-61301 1
< 0.1%
ValueCountFrequency (%)
2147483647 1
< 0.1%
296253720 1
< 0.1%
264133379 1
< 0.1%
96358786 1
< 0.1%
90544381 1
< 0.1%

EXT8_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct35007
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7039.958184
Minimum-461138
Maximum247706204
Zeros10494
Zeros (%)1.0%
Negative13
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:11.418928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-461138
5-th percentile1365
Q12532
median3629
Q35401
95-th percentile11701
Maximum247706204
Range248167342
Interquartile range (IQR)2869

Descriptive statistics

Standard deviation368543.1466
Coefficient of variation (CV)52.35018972
Kurtosis275261.5467
Mean7039.958184
Median Absolute Deviation (MAD)1303
Skewness473.8442549
Sum7124789680
Variance1.358240509 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:11.474668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10494
 
1.0%
2400 541
 
0.1%
2568 513
 
0.1%
2600 505
 
< 0.1%
2384 504
 
< 0.1%
2800 503
 
< 0.1%
2768 494
 
< 0.1%
2968 492
 
< 0.1%
3200 489
 
< 0.1%
2784 488
 
< 0.1%
Other values (34997) 997027
98.5%
ValueCountFrequency (%)
-461138 1
< 0.1%
-54646 1
< 0.1%
-34867 1
< 0.1%
-26684 1
< 0.1%
-26073 1
< 0.1%
ValueCountFrequency (%)
247706204 1
< 0.1%
186945376 1
< 0.1%
84147296 1
< 0.1%
78912186 1
< 0.1%
76918225 1
< 0.1%

EXT9_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct32852
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6157.125345
Minimum-59370
Maximum180369402
Zeros10730
Zeros (%)1.1%
Negative11
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:11.524677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-59370
5-th percentile1414
Q12587
median3651
Q35376
95-th percentile11217
Maximum180369402
Range180428772
Interquartile range (IQR)2789

Descriptive statistics

Standard deviation248331.0766
Coefficient of variation (CV)40.33230813
Kurtosis312533.2865
Mean6157.125345
Median Absolute Deviation (MAD)1267
Skewness503.6033894
Sum6231318705
Variance6.166832361 × 1010
MonotonicityNot monotonic
2024-04-26T20:50:11.582775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10730
 
1.1%
2600 537
 
0.1%
3000 533
 
0.1%
2800 525
 
0.1%
3200 523
 
0.1%
2768 511
 
0.1%
2784 508
 
0.1%
2568 492
 
< 0.1%
2984 488
 
< 0.1%
2632 488
 
< 0.1%
Other values (32842) 996715
98.5%
ValueCountFrequency (%)
-59370 1
< 0.1%
-35227 1
< 0.1%
-11382 1
< 0.1%
-11119 1
< 0.1%
-9130 1
< 0.1%
ValueCountFrequency (%)
180369402 1
< 0.1%
88154250 1
< 0.1%
76249090 1
< 0.1%
74248113 1
< 0.1%
63083786 1
< 0.1%

EXT10_E
Real number (ℝ)

SKEWED 

Distinct29384
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7419.364126
Minimum-142238
Maximum2147483647
Zeros10091
Zeros (%)1.0%
Negative18
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:11.639596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-142238
5-th percentile1210
Q12254
median3224
Q34735
95-th percentile9684
Maximum2147483647
Range2147625885
Interquartile range (IQR)2481

Descriptive statistics

Standard deviation2146582.248
Coefficient of variation (CV)289.321593
Kurtosis989776.131
Mean7419.364126
Median Absolute Deviation (MAD)1142
Skewness989.8777325
Sum7508767464
Variance4.607815346 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:11.693523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10091
 
1.0%
2200 595
 
0.1%
2400 561
 
0.1%
2000 553
 
0.1%
2568 549
 
0.1%
2416 542
 
0.1%
2384 539
 
0.1%
2616 538
 
0.1%
2584 537
 
0.1%
2768 532
 
0.1%
Other values (29374) 997013
98.5%
ValueCountFrequency (%)
-142238 1
< 0.1%
-70969 1
< 0.1%
-64669 1
< 0.1%
-56928 1
< 0.1%
-22244 1
< 0.1%
ValueCountFrequency (%)
2147483647 1
< 0.1%
150252063 1
< 0.1%
101168717 1
< 0.1%
73651565 1
< 0.1%
73241542 1
< 0.1%

EST1_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct35151
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9438.834597
Minimum-112165
Maximum1112743534
Zeros13128
Zeros (%)1.3%
Negative21
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:11.746537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-112165
5-th percentile1134
Q12207
median3283
Q35103
95-th percentile11916.55
Maximum1112743534
Range1112855699
Interquartile range (IQR)2896

Descriptive statistics

Standard deviation1242433.098
Coefficient of variation (CV)131.6299259
Kurtosis643446.5415
Mean9438.834597
Median Absolute Deviation (MAD)1292
Skewness745.5455309
Sum9552572554
Variance1.543640004 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:11.797062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13128
 
1.3%
2184 552
 
0.1%
2000 532
 
0.1%
2200 521
 
0.1%
2400 519
 
0.1%
2384 510
 
0.1%
2800 507
 
0.1%
2168 505
 
< 0.1%
2352 502
 
< 0.1%
2600 496
 
< 0.1%
Other values (35141) 994278
98.2%
ValueCountFrequency (%)
-112165 1
< 0.1%
-86525 1
< 0.1%
-70283 1
< 0.1%
-18417 1
< 0.1%
-11233 1
< 0.1%
ValueCountFrequency (%)
1112743534 1
< 0.1%
335110539 1
< 0.1%
240303883 1
< 0.1%
190986625 1
< 0.1%
173304819 1
< 0.1%

EST2_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct36208
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9251.993161
Minimum-71572
Maximum429923703
Zeros14668
Zeros (%)1.4%
Negative22
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:11.847247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-71572
5-th percentile1293
Q12480
median3594
Q35406
95-th percentile12099
Maximum429923703
Range429995275
Interquartile range (IQR)2926

Descriptive statistics

Standard deviation627647.0337
Coefficient of variation (CV)67.83911561
Kurtosis237616.61
Mean9251.993161
Median Absolute Deviation (MAD)1325
Skewness411.3467616
Sum9363479679
Variance3.939407989 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:11.895668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14668
 
1.4%
2600 538
 
0.1%
2768 526
 
0.1%
2400 509
 
0.1%
3000 506
 
< 0.1%
2584 505
 
< 0.1%
2984 505
 
< 0.1%
2800 503
 
< 0.1%
2384 503
 
< 0.1%
2216 481
 
< 0.1%
Other values (36198) 992806
98.1%
ValueCountFrequency (%)
-71572 1
< 0.1%
-62485 1
< 0.1%
-15550 1
< 0.1%
-14642 1
< 0.1%
-12701 1
< 0.1%
ValueCountFrequency (%)
429923703 1
< 0.1%
184071718 1
< 0.1%
163374120 1
< 0.1%
146964082 1
< 0.1%
128268125 1
< 0.1%

EST3_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct31819
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7674.830285
Minimum-41381
Maximum525072378
Zeros10401
Zeros (%)1.0%
Negative10
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:11.943768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-41381
5-th percentile1070
Q11927
median2784
Q34223
95-th percentile9580
Maximum525072378
Range525113759
Interquartile range (IQR)2296

Descriptive statistics

Standard deviation708222.3509
Coefficient of variation (CV)92.27856834
Kurtosis327666.9304
Mean7674.830285
Median Absolute Deviation (MAD)1031
Skewness502.9456276
Sum7767311990
Variance5.015788984 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:11.994233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10401
 
1.0%
2000 715
 
0.1%
2200 667
 
0.1%
1984 664
 
0.1%
1784 647
 
0.1%
2168 646
 
0.1%
2184 645
 
0.1%
1800 641
 
0.1%
2016 639
 
0.1%
1968 628
 
0.1%
Other values (31809) 995757
98.4%
ValueCountFrequency (%)
-41381 1
< 0.1%
-24118 1
< 0.1%
-16644 1
< 0.1%
-13641 1
< 0.1%
-12426 1
< 0.1%
ValueCountFrequency (%)
525072378 1
< 0.1%
272729354 1
< 0.1%
169998263 1
< 0.1%
139259333 1
< 0.1%
107292964 1
< 0.1%

EST4_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct50223
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12846.06367
Minimum-3598047
Maximum2147483647
Zeros15163
Zeros (%)1.5%
Negative21
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:12.043738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3598047
5-th percentile1258
Q12447
median3595.5
Q35716
95-th percentile20280
Maximum2147483647
Range2151081694
Interquartile range (IQR)3269

Descriptive statistics

Standard deviation2403655.966
Coefficient of variation (CV)187.112257
Kurtosis649945.2178
Mean12846.06367
Median Absolute Deviation (MAD)1407.5
Skewness765.8469759
Sum1.300085874 × 1010
Variance5.777562003 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:12.092085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15163
 
1.5%
2600 497
 
< 0.1%
2200 490
 
< 0.1%
2800 490
 
< 0.1%
2400 484
 
< 0.1%
2584 484
 
< 0.1%
2384 477
 
< 0.1%
3000 474
 
< 0.1%
2000 459
 
< 0.1%
2416 458
 
< 0.1%
Other values (50213) 992574
98.1%
ValueCountFrequency (%)
-3598047 1
< 0.1%
-34050 1
< 0.1%
-26535 1
< 0.1%
-19914 1
< 0.1%
-19365 1
< 0.1%
ValueCountFrequency (%)
2147483647 1
< 0.1%
880042878 1
< 0.1%
543666822 1
< 0.1%
169013762 1
< 0.1%
161096767 1
< 0.1%

EST5_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct36682
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10362.8358
Minimum-88286
Maximum2147483647
Zeros10512
Zeros (%)1.0%
Negative17
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:12.140716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-88286
5-th percentile1369
Q12456
median3495
Q35208
95-th percentile11929
Maximum2147483647
Range2147571933
Interquartile range (IQR)2752

Descriptive statistics

Standard deviation2182954.738
Coefficient of variation (CV)210.6522559
Kurtosis925593.9515
Mean10362.8358
Median Absolute Deviation (MAD)1240
Skewness943.2971226
Sum1.048770797 × 1010
Variance4.76529139 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:12.323973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10512
 
1.0%
2384 536
 
0.1%
2368 534
 
0.1%
2800 526
 
0.1%
2784 526
 
0.1%
3000 526
 
0.1%
2600 516
 
0.1%
2400 512
 
0.1%
2184 512
 
0.1%
2984 509
 
0.1%
Other values (36672) 996841
98.5%
ValueCountFrequency (%)
-88286 1
< 0.1%
-49408 1
< 0.1%
-27949 1
< 0.1%
-14730 1
< 0.1%
-13930 1
< 0.1%
ValueCountFrequency (%)
2147483647 1
< 0.1%
194734369 1
< 0.1%
187361934 1
< 0.1%
176942214 1
< 0.1%
124732514 1
< 0.1%

EST6_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct34209
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8117.425589
Minimum-3574100
Maximum346412854
Zeros15082
Zeros (%)1.5%
Negative14
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:12.371249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3574100
5-th percentile1187
Q12190
median3161
Q34818
95-th percentile11012.55
Maximum346412854
Range349986954
Interquartile range (IQR)2628

Descriptive statistics

Standard deviation701841.1546
Coefficient of variation (CV)86.46105184
Kurtosis169114.2551
Mean8117.425589
Median Absolute Deviation (MAD)1169
Skewness381.6700015
Sum8215240567
Variance4.925810063 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:12.421922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15082
 
1.5%
2000 634
 
0.1%
2184 622
 
0.1%
2200 614
 
0.1%
2384 584
 
0.1%
2400 576
 
0.1%
2584 562
 
0.1%
2600 561
 
0.1%
2568 556
 
0.1%
2016 555
 
0.1%
Other values (34199) 991704
98.0%
ValueCountFrequency (%)
-3574100 1
< 0.1%
-81895 1
< 0.1%
-78261 1
< 0.1%
-68924 1
< 0.1%
-22268 1
< 0.1%
ValueCountFrequency (%)
346412854 1
< 0.1%
343819750 1
< 0.1%
321131581 1
< 0.1%
178663865 1
< 0.1%
167945514 1
< 0.1%

EST7_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct31872
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7080.000616
Minimum-2520786
Maximum193147784
Zeros10408
Zeros (%)1.0%
Negative17
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:12.472982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2520786
5-th percentile1192
Q12182
median3146
Q34716
95-th percentile10218
Maximum193147784
Range195668570
Interquartile range (IQR)2534

Descriptive statistics

Standard deviation431013.2344
Coefficient of variation (CV)60.87757019
Kurtosis97547.18022
Mean7080.000616
Median Absolute Deviation (MAD)1148
Skewness284.2581361
Sum7165314623
Variance1.857724083 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:12.525752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10408
 
1.0%
2184 626
 
0.1%
2000 603
 
0.1%
2200 597
 
0.1%
2384 589
 
0.1%
2400 584
 
0.1%
2216 571
 
0.1%
2600 561
 
0.1%
2168 557
 
0.1%
1984 549
 
0.1%
Other values (31862) 996405
98.5%
ValueCountFrequency (%)
-2520786 1
< 0.1%
-2187273 1
< 0.1%
-11944 1
< 0.1%
-10569 1
< 0.1%
-8353 1
< 0.1%
ValueCountFrequency (%)
193147784 1
< 0.1%
181513747 1
< 0.1%
134991433 1
< 0.1%
101691871 1
< 0.1%
89522233 1
< 0.1%

EST8_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct35559
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7946.490209
Minimum-3599692
Maximum2147483647
Zeros11291
Zeros (%)1.1%
Negative20
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:12.577738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3599692
5-th percentile1153
Q12071
median2939
Q34462
95-th percentile11286.55
Maximum2147483647
Range2151083339
Interquartile range (IQR)2391

Descriptive statistics

Standard deviation2155722.132
Coefficient of variation (CV)271.279782
Kurtosis973269.0964
Mean7946.490209
Median Absolute Deviation (MAD)1057
Skewness978.6267425
Sum8042245416
Variance4.647137909 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:12.626840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11291
 
1.1%
2400 676
 
0.1%
2200 649
 
0.1%
2384 640
 
0.1%
2000 639
 
0.1%
1984 634
 
0.1%
1800 619
 
0.1%
2184 616
 
0.1%
1968 616
 
0.1%
2168 615
 
0.1%
Other values (35549) 995055
98.3%
ValueCountFrequency (%)
-3599692 1
< 0.1%
-3596329 1
< 0.1%
-92455 1
< 0.1%
-75098 1
< 0.1%
-60357 1
< 0.1%
ValueCountFrequency (%)
2147483647 1
< 0.1%
256738328 1
< 0.1%
92584712 1
< 0.1%
83856179 1
< 0.1%
31997140 1
< 0.1%

EST9_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct29651
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5526.437137
Minimum-79175662
Maximum313106990
Zeros10197
Zeros (%)1.0%
Negative16
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:12.674458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-79175662
5-th percentile1086
Q11921
median2772
Q34203
95-th percentile9318
Maximum313106990
Range392282652
Interquartile range (IQR)2282

Descriptive statistics

Standard deviation445650.2207
Coefficient of variation (CV)80.63969783
Kurtosis297933.4912
Mean5526.437137
Median Absolute Deviation (MAD)1021
Skewness488.0318496
Sum5593030704
Variance1.986041192 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:12.726066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10197
 
1.0%
1800 688
 
0.1%
2000 683
 
0.1%
2200 674
 
0.1%
1984 670
 
0.1%
2168 655
 
0.1%
1600 649
 
0.1%
2016 649
 
0.1%
2184 631
 
0.1%
2232 625
 
0.1%
Other values (29641) 995929
98.4%
ValueCountFrequency (%)
-79175662 1
< 0.1%
-112544 1
< 0.1%
-70225 1
< 0.1%
-68967 1
< 0.1%
-38167 1
< 0.1%
ValueCountFrequency (%)
313106990 1
< 0.1%
183826938 1
< 0.1%
177510154 1
< 0.1%
77966534 1
< 0.1%
72472496 1
< 0.1%

EST10_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct32258
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4754.137683
Minimum-43558
Maximum83241752
Zeros10857
Zeros (%)1.1%
Negative6
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:12.776473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-43558
5-th percentile1008
Q11760
median2566
Q33978
95-th percentile10134
Maximum83241752
Range83285310
Interquartile range (IQR)2218

Descriptive statistics

Standard deviation170662.6614
Coefficient of variation (CV)35.89771117
Kurtosis149969.0793
Mean4754.137683
Median Absolute Deviation (MAD)974
Skewness360.7584899
Sum4811425042
Variance2.9125744 × 1010
MonotonicityNot monotonic
2024-04-26T20:50:12.824678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10857
 
1.1%
1800 742
 
0.1%
1584 735
 
0.1%
1600 734
 
0.1%
1784 733
 
0.1%
2000 726
 
0.1%
1984 703
 
0.1%
2200 679
 
0.1%
2016 673
 
0.1%
1968 669
 
0.1%
Other values (32248) 994799
98.3%
ValueCountFrequency (%)
-43558 1
< 0.1%
-15337 1
< 0.1%
-11167 1
< 0.1%
-8199 1
< 0.1%
-3140 1
< 0.1%
ValueCountFrequency (%)
83241752 1
< 0.1%
81790376 1
< 0.1%
63051920 1
< 0.1%
60371955 1
< 0.1%
38513286 1
< 0.1%

AGR1_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct47522
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17761.28282
Minimum-2757521
Maximum1170859453
Zeros10523
Zeros (%)1.0%
Negative27
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:12.872084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2757521
5-th percentile1245
Q12894
median4360
Q36870
95-th percentile17947.55
Maximum1170859453
Range1173616974
Interquartile range (IQR)3976

Descriptive statistics

Standard deviation1695214.815
Coefficient of variation (CV)95.4443906
Kurtosis253228.9302
Mean17761.28282
Median Absolute Deviation (MAD)1771
Skewness433.5328327
Sum1.797530628 × 1010
Variance2.873753269 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:12.922844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10523
 
1.0%
3200 283
 
< 0.1%
3415 283
 
< 0.1%
2783 275
 
< 0.1%
3183 275
 
< 0.1%
3399 274
 
< 0.1%
3000 274
 
< 0.1%
2983 272
 
< 0.1%
3367 269
 
< 0.1%
3048 267
 
< 0.1%
Other values (47512) 999055
98.7%
ValueCountFrequency (%)
-2757521 1
< 0.1%
-54241 1
< 0.1%
-53219 1
< 0.1%
-48675 1
< 0.1%
-41125 1
< 0.1%
ValueCountFrequency (%)
1170859453 1
< 0.1%
613109056 1
< 0.1%
433601409 1
< 0.1%
348126048 1
< 0.1%
345030858 1
< 0.1%

AGR2_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct34416
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8801.810931
Minimum-3592606
Maximum473898335
Zeros14510
Zeros (%)1.4%
Negative14
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:12.981342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3592606
5-th percentile1222
Q12246
median3259
Q34953
95-th percentile11441
Maximum473898335
Range477490941
Interquartile range (IQR)2707

Descriptive statistics

Standard deviation718602.3245
Coefficient of variation (CV)81.64255403
Kurtosis252373.7613
Mean8801.810931
Median Absolute Deviation (MAD)1213
Skewness446.0193741
Sum8907872753
Variance5.163893008 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:13.030902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14510
 
1.4%
2400 579
 
0.1%
2000 571
 
0.1%
2384 563
 
0.1%
2600 546
 
0.1%
2184 539
 
0.1%
2800 538
 
0.1%
2200 535
 
0.1%
2168 534
 
0.1%
2584 533
 
0.1%
Other values (34406) 992602
98.1%
ValueCountFrequency (%)
-3592606 1
< 0.1%
-247687 1
< 0.1%
-87073 1
< 0.1%
-82960 1
< 0.1%
-21095 1
< 0.1%
ValueCountFrequency (%)
473898335 1
< 0.1%
353514508 1
< 0.1%
172690760 1
< 0.1%
149536446 1
< 0.1%
112992632 1
< 0.1%

AGR3_E
Real number (ℝ)

SKEWED 

Distinct34696
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6637.533244
Minimum-1795552
Maximum130124433
Zeros9975
Zeros (%)1.0%
Negative12
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:13.079137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1795552
5-th percentile1254
Q12223
median3160
Q34752
95-th percentile11287
Maximum130124433
Range131919985
Interquartile range (IQR)2529

Descriptive statistics

Standard deviation259202.9129
Coefficient of variation (CV)39.05109073
Kurtosis106850.9154
Mean6637.533244
Median Absolute Deviation (MAD)1127
Skewness291.8052277
Sum6717515520
Variance6.718615007 × 1010
MonotonicityNot monotonic
2024-04-26T20:50:13.130733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9975
 
1.0%
2184 600
 
0.1%
2400 598
 
0.1%
2584 597
 
0.1%
2200 574
 
0.1%
2000 574
 
0.1%
2384 574
 
0.1%
2368 572
 
0.1%
2216 562
 
0.1%
2600 562
 
0.1%
Other values (34686) 996862
98.5%
ValueCountFrequency (%)
-1795552 1
< 0.1%
-56215 1
< 0.1%
-44884 1
< 0.1%
-35864 1
< 0.1%
-23578 1
< 0.1%
ValueCountFrequency (%)
130124433 1
< 0.1%
88303805 1
< 0.1%
77780801 1
< 0.1%
72625828 1
< 0.1%
72320616 1
< 0.1%

AGR4_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct37497
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9050.06859
Minimum-67786
Maximum342253546
Zeros12416
Zeros (%)1.2%
Negative21
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:13.179291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-67786
5-th percentile1197
Q12189
median3177
Q34880
95-th percentile11877
Maximum342253546
Range342321332
Interquartile range (IQR)2691

Descriptive statistics

Standard deviation757747.3616
Coefficient of variation (CV)83.72835565
Kurtosis140450.8654
Mean9050.06859
Median Absolute Deviation (MAD)1191
Skewness352.2600161
Sum9159121917
Variance5.74181064 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:13.229676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12416
 
1.2%
2200 614
 
0.1%
2384 582
 
0.1%
2000 573
 
0.1%
2184 561
 
0.1%
2584 549
 
0.1%
2016 548
 
0.1%
1984 548
 
0.1%
2168 547
 
0.1%
2400 547
 
0.1%
Other values (37487) 994565
98.3%
ValueCountFrequency (%)
-67786 1
< 0.1%
-44413 1
< 0.1%
-31911 1
< 0.1%
-28270 1
< 0.1%
-16355 1
< 0.1%
ValueCountFrequency (%)
342253546 1
< 0.1%
336524443 1
< 0.1%
329878192 1
< 0.1%
246061780 1
< 0.1%
234931061 1
< 0.1%

AGR5_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct37524
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11186.91796
Minimum-61865
Maximum2147483647
Zeros11014
Zeros (%)1.1%
Negative20
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:13.280673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-61865
5-th percentile1626
Q12916
median4066
Q35921
95-th percentile12738
Maximum2147483647
Range2147545512
Interquartile range (IQR)3005

Descriptive statistics

Standard deviation2182042.27
Coefficient of variation (CV)195.0530322
Kurtosis927080.5209
Mean11186.91796
Median Absolute Deviation (MAD)1369
Skewness944.0118145
Sum1.132172032 × 1010
Variance4.761308469 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:13.329122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11014
 
1.1%
2600 486
 
< 0.1%
3184 485
 
< 0.1%
3000 485
 
< 0.1%
3200 479
 
< 0.1%
3400 479
 
< 0.1%
2800 462
 
< 0.1%
3384 458
 
< 0.1%
2984 457
 
< 0.1%
3016 446
 
< 0.1%
Other values (37514) 996799
98.5%
ValueCountFrequency (%)
-61865 1
< 0.1%
-20294 1
< 0.1%
-17609 1
< 0.1%
-17141 1
< 0.1%
-11828 1
< 0.1%
ValueCountFrequency (%)
2147483647 1
< 0.1%
170693448 1
< 0.1%
156557699 1
< 0.1%
156391659 1
< 0.1%
134804667 1
< 0.1%

AGR6_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct32128
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6245.365524
Minimum-247504
Maximum166636468
Zeros14685
Zeros (%)1.5%
Negative10
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:13.376055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-247504
5-th percentile1116
Q11998
median2861
Q34360.75
95-th percentile10174
Maximum166636468
Range166883972
Interquartile range (IQR)2362.75

Descriptive statistics

Standard deviation350631.2888
Coefficient of variation (CV)56.14263688
Kurtosis125547.7917
Mean6245.365524
Median Absolute Deviation (MAD)1045
Skewness324.4145724
Sum6320622179
Variance1.229423007 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:13.425833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14685
 
1.5%
2000 753
 
0.1%
2200 679
 
0.1%
1984 675
 
0.1%
2016 667
 
0.1%
2400 642
 
0.1%
2184 638
 
0.1%
1800 635
 
0.1%
2168 632
 
0.1%
2368 624
 
0.1%
Other values (32118) 991420
98.0%
ValueCountFrequency (%)
-247504 1
< 0.1%
-21938 1
< 0.1%
-20522 1
< 0.1%
-8785 1
< 0.1%
-8211 1
< 0.1%
ValueCountFrequency (%)
166636468 1
< 0.1%
163457237 1
< 0.1%
101815799 1
< 0.1%
97539002 1
< 0.1%
95167226 1
< 0.1%

AGR7_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct34475
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8252.737486
Minimum-65423
Maximum498517579
Zeros10512
Zeros (%)1.0%
Negative12
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:13.475892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-65423
5-th percentile1488
Q12651
median3699
Q35384
95-th percentile11543
Maximum498517579
Range498583002
Interquartile range (IQR)2733

Descriptive statistics

Standard deviation667472.5966
Coefficient of variation (CV)80.87893232
Kurtosis348425.5218
Mean8252.737486
Median Absolute Deviation (MAD)1245
Skewness532.6253585
Sum8352182973
Variance4.455196673 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:13.526024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10512
 
1.0%
2800 539
 
0.1%
3000 526
 
0.1%
3016 515
 
0.1%
2600 515
 
0.1%
3184 515
 
0.1%
2768 507
 
0.1%
3200 504
 
< 0.1%
2784 502
 
< 0.1%
2984 500
 
< 0.1%
Other values (34465) 996915
98.5%
ValueCountFrequency (%)
-65423 1
< 0.1%
-57704 1
< 0.1%
-29525 1
< 0.1%
-19573 1
< 0.1%
-14543 1
< 0.1%
ValueCountFrequency (%)
498517579 1
< 0.1%
251861470 1
< 0.1%
248813643 1
< 0.1%
97299090 1
< 0.1%
84448612 1
< 0.1%

AGR8_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct37711
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8958.954353
Minimum-764938
Maximum1367497215
Zeros12607
Zeros (%)1.2%
Negative23
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:13.572454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-764938
5-th percentile1419
Q12658
median3819
Q35677
95-th percentile12524
Maximum1367497215
Range1368262153
Interquartile range (IQR)3019

Descriptive statistics

Standard deviation1400888.909
Coefficient of variation (CV)156.367457
Kurtosis897731.6094
Mean8958.954353
Median Absolute Deviation (MAD)1377
Skewness924.0689062
Sum9066909753
Variance1.962489736 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:13.621997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12607
 
1.2%
3000 521
 
0.1%
3200 506
 
< 0.1%
2600 485
 
< 0.1%
2584 482
 
< 0.1%
2568 473
 
< 0.1%
2784 456
 
< 0.1%
2768 455
 
< 0.1%
2968 451
 
< 0.1%
2984 450
 
< 0.1%
Other values (37701) 995164
98.3%
ValueCountFrequency (%)
-764938 1
< 0.1%
-69783 1
< 0.1%
-27029 1
< 0.1%
-15139 1
< 0.1%
-9204 1
< 0.1%
ValueCountFrequency (%)
1367497215 1
< 0.1%
202928270 1
< 0.1%
97602378 1
< 0.1%
93865610 1
< 0.1%
93089542 1
< 0.1%

AGR9_E
Real number (ℝ)

SKEWED 

Distinct30082
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5366.727566
Minimum-527846
Maximum79014287
Zeros9968
Zeros (%)1.0%
Negative19
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:13.672911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-527846
5-th percentile1255
Q12206
median3122
Q34631
95-th percentile9785
Maximum79014287
Range79542133
Interquartile range (IQR)2425

Descriptive statistics

Standard deviation163352.7502
Coefficient of variation (CV)30.43805525
Kurtosis127008.6596
Mean5366.727566
Median Absolute Deviation (MAD)1094
Skewness327.5786335
Sum5431396633
Variance2.668412099 × 1010
MonotonicityNot monotonic
2024-04-26T20:50:13.724793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9968
 
1.0%
2000 678
 
0.1%
2400 638
 
0.1%
2600 631
 
0.1%
2200 602
 
0.1%
2800 578
 
0.1%
1984 575
 
0.1%
2584 572
 
0.1%
2384 566
 
0.1%
2184 566
 
0.1%
Other values (30072) 996676
98.5%
ValueCountFrequency (%)
-527846 1
< 0.1%
-29969 1
< 0.1%
-19855 1
< 0.1%
-17521 1
< 0.1%
-17114 1
< 0.1%
ValueCountFrequency (%)
79014287 1
< 0.1%
68481626 1
< 0.1%
62757478 1
< 0.1%
52847907 1
< 0.1%
38714159 1
< 0.1%

AGR10_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct35885
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6046.498929
Minimum-85674
Maximum240623398
Zeros12199
Zeros (%)1.2%
Negative15
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:13.776007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-85674
5-th percentile1313
Q12378
median3333
Q34911
95-th percentile12013
Maximum240623398
Range240709072
Interquartile range (IQR)2533

Descriptive statistics

Standard deviation304716.2827
Coefficient of variation (CV)50.39549105
Kurtosis401260.5401
Mean6046.498929
Median Absolute Deviation (MAD)1143
Skewness563.6834841
Sum6119359241
Variance9.285201292 × 1010
MonotonicityNot monotonic
2024-04-26T20:50:13.826569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12199
 
1.2%
2600 585
 
0.1%
2800 579
 
0.1%
2784 566
 
0.1%
2568 564
 
0.1%
2584 562
 
0.1%
2400 562
 
0.1%
2368 560
 
0.1%
3000 550
 
0.1%
2416 546
 
0.1%
Other values (35875) 994777
98.3%
ValueCountFrequency (%)
-85674 1
< 0.1%
-49731 1
< 0.1%
-41399 1
< 0.1%
-30134 1
< 0.1%
-14650 1
< 0.1%
ValueCountFrequency (%)
240623398 1
< 0.1%
81582425 1
< 0.1%
72918541 1
< 0.1%
72317250 1
< 0.1%
68315147 1
< 0.1%

CSN1_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct36819
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12304.53142
Minimum-3590638
Maximum772659169
Zeros17559
Zeros (%)1.7%
Negative13
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:13.875555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3590638
5-th percentile1159
Q12368
median3515
Q35459
95-th percentile12827
Maximum772659169
Range776249807
Interquartile range (IQR)3091

Descriptive statistics

Standard deviation1315469.378
Coefficient of variation (CV)106.9093436
Kurtosis178227.5522
Mean12304.53142
Median Absolute Deviation (MAD)1381
Skewness384.6374151
Sum1.245280103 × 1010
Variance1.730459686 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:13.927205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17559
 
1.7%
2200 515
 
0.1%
2600 502
 
< 0.1%
2400 502
 
< 0.1%
3000 485
 
< 0.1%
2384 476
 
< 0.1%
2616 462
 
< 0.1%
2984 452
 
< 0.1%
2216 452
 
< 0.1%
2368 448
 
< 0.1%
Other values (36809) 990197
97.8%
ValueCountFrequency (%)
-3590638 1
< 0.1%
-3577007 1
< 0.1%
-70931 1
< 0.1%
-9936 1
< 0.1%
-7768 1
< 0.1%
ValueCountFrequency (%)
772659169 1
< 0.1%
488543776 1
< 0.1%
469940177 1
< 0.1%
436577372 1
< 0.1%
434904824 1
< 0.1%

CSN2_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct41339
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10257.16892
Minimum-35996486
Maximum263737418
Zeros11613
Zeros (%)1.1%
Negative14
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:13.976557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-35996486
5-th percentile1473
Q12954
median4240
Q36249
95-th percentile14427
Maximum263737418
Range299733904
Interquartile range (IQR)3295

Descriptive statistics

Standard deviation572954.1913
Coefficient of variation (CV)55.85890178
Kurtosis97506.98881
Mean10257.16892
Median Absolute Deviation (MAD)1517
Skewness275.2434636
Sum1.03807678 × 1010
Variance3.282765053 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:14.027445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11613
 
1.1%
2600 442
 
< 0.1%
3200 431
 
< 0.1%
3000 426
 
< 0.1%
3400 422
 
< 0.1%
2984 421
 
< 0.1%
3184 420
 
< 0.1%
3016 418
 
< 0.1%
3384 415
 
< 0.1%
3984 404
 
< 0.1%
Other values (41329) 996638
98.5%
ValueCountFrequency (%)
-35996486 1
< 0.1%
-12356 1
< 0.1%
-6961 1
< 0.1%
-4505 1
< 0.1%
-4085 1
< 0.1%
ValueCountFrequency (%)
263737418 1
< 0.1%
239935265 1
< 0.1%
169887206 1
< 0.1%
164392718 1
< 0.1%
117684513 1
< 0.1%

CSN3_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct33996
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9072.384348
Minimum-94464
Maximum1100334734
Zeros11008
Zeros (%)1.1%
Negative17
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:14.077606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-94464
5-th percentile1303
Q12264
median3195
Q34746
95-th percentile10614
Maximum1100334734
Range1100429198
Interquartile range (IQR)2482

Descriptive statistics

Standard deviation1258236.982
Coefficient of variation (CV)138.688677
Kurtosis586520.3519
Mean9072.384348
Median Absolute Deviation (MAD)1116
Skewness703.4795966
Sum9181706579
Variance1.583160304 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:14.126701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11008
 
1.1%
2200 619
 
0.1%
2400 612
 
0.1%
2568 602
 
0.1%
2600 591
 
0.1%
2000 588
 
0.1%
2216 587
 
0.1%
2168 585
 
0.1%
2584 584
 
0.1%
2184 581
 
0.1%
Other values (33986) 995693
98.4%
ValueCountFrequency (%)
-94464 1
< 0.1%
-15375 1
< 0.1%
-9404 1
< 0.1%
-6751 1
< 0.1%
-5308 1
< 0.1%
ValueCountFrequency (%)
1100334734 1
< 0.1%
314632666 1
< 0.1%
290391389 1
< 0.1%
201046200 1
< 0.1%
193066776 1
< 0.1%

CSN4_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct36432
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9178.775039
Minimum-3597020
Maximum379610457
Zeros11503
Zeros (%)1.1%
Negative23
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:14.174775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3597020
5-th percentile1285
Q12330
median3320
Q34936
95-th percentile11536.55
Maximum379610457
Range383207477
Interquartile range (IQR)2606

Descriptive statistics

Standard deviation721727.7863
Coefficient of variation (CV)78.63007681
Kurtosis140591.7552
Mean9178.775039
Median Absolute Deviation (MAD)1182
Skewness339.2750663
Sum9289379278
Variance5.208909976 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:14.225109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11503
 
1.1%
3000 572
 
0.1%
2600 572
 
0.1%
2200 558
 
0.1%
2168 551
 
0.1%
2584 548
 
0.1%
2400 545
 
0.1%
2384 543
 
0.1%
2800 541
 
0.1%
2352 539
 
0.1%
Other values (36422) 995578
98.4%
ValueCountFrequency (%)
-3597020 1
< 0.1%
-727303 1
< 0.1%
-119255 1
< 0.1%
-57599 1
< 0.1%
-50476 1
< 0.1%
ValueCountFrequency (%)
379610457 1
< 0.1%
276846098 1
< 0.1%
270221279 1
< 0.1%
269084217 1
< 0.1%
140148953 1
< 0.1%

CSN5_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct42561
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9029.571657
Minimum-3512740
Maximum958623288
Zeros12265
Zeros (%)1.2%
Negative14
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:14.276590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3512740
5-th percentile1385
Q12512
median3569
Q35398
95-th percentile14837
Maximum958623288
Range962136028
Interquartile range (IQR)2886

Descriptive statistics

Standard deviation1015568.903
Coefficient of variation (CV)112.4714374
Kurtosis786126.5204
Mean9029.571657
Median Absolute Deviation (MAD)1279
Skewness843.8599846
Sum9138377995
Variance1.031380197 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:14.327288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12265
 
1.2%
2400 544
 
0.1%
3184 532
 
0.1%
3000 528
 
0.1%
2384 524
 
0.1%
2784 521
 
0.1%
2600 512
 
0.1%
2800 509
 
0.1%
2616 498
 
< 0.1%
3216 495
 
< 0.1%
Other values (42551) 995122
98.3%
ValueCountFrequency (%)
-3512740 1
< 0.1%
-14630 1
< 0.1%
-12298 1
< 0.1%
-11191 1
< 0.1%
-9020 1
< 0.1%
ValueCountFrequency (%)
958623288 1
< 0.1%
179615236 1
< 0.1%
145197006 1
< 0.1%
100673855 1
< 0.1%
90483466 1
< 0.1%

CSN6_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct37734
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11728.7507
Minimum-74245
Maximum2147483647
Zeros10931
Zeros (%)1.1%
Negative9
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:14.376581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-74245
5-th percentile1550
Q13095
median4360
Q36262
95-th percentile13047
Maximum2147483647
Range2147557892
Interquartile range (IQR)3167

Descriptive statistics

Standard deviation2245636.112
Coefficient of variation (CV)191.4642208
Kurtosis828456.8308
Mean11728.7507
Median Absolute Deviation (MAD)1478
Skewness877.1429408
Sum1.187008214 × 1010
Variance5.042881549 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:14.425129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10931
 
1.1%
3400 461
 
< 0.1%
3200 452
 
< 0.1%
3000 439
 
< 0.1%
3600 422
 
< 0.1%
3584 414
 
< 0.1%
4000 412
 
< 0.1%
2968 410
 
< 0.1%
3384 410
 
< 0.1%
3984 408
 
< 0.1%
Other values (37724) 997291
98.5%
ValueCountFrequency (%)
-74245 1
< 0.1%
-30926 1
< 0.1%
-20334 1
< 0.1%
-12788 1
< 0.1%
-7589 1
< 0.1%
ValueCountFrequency (%)
2147483647 1
< 0.1%
443209652 1
< 0.1%
314103595 1
< 0.1%
258379130 1
< 0.1%
194728790 1
< 0.1%

CSN7_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct29311
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5558.312546
Minimum-100291
Maximum135958221
Zeros11466
Zeros (%)1.1%
Negative20
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:14.472999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-100291
5-th percentile1178
Q12032
median2891
Q34314
95-th percentile9324
Maximum135958221
Range136058512
Interquartile range (IQR)2282

Descriptive statistics

Standard deviation269192.93
Coefficient of variation (CV)48.43069328
Kurtosis121885.1261
Mean5558.312546
Median Absolute Deviation (MAD)1027
Skewness319.5573964
Sum5625290212
Variance7.246483358 × 1010
MonotonicityNot monotonic
2024-04-26T20:50:14.525719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11466
 
1.1%
2000 700
 
0.1%
1800 678
 
0.1%
2184 657
 
0.1%
2200 657
 
0.1%
2400 640
 
0.1%
1984 635
 
0.1%
2384 625
 
0.1%
2168 622
 
0.1%
1968 615
 
0.1%
Other values (29301) 994755
98.3%
ValueCountFrequency (%)
-100291 1
< 0.1%
-70291 1
< 0.1%
-30016 1
< 0.1%
-20246 1
< 0.1%
-13295 1
< 0.1%
ValueCountFrequency (%)
135958221 1
< 0.1%
109102367 1
< 0.1%
84828106 1
< 0.1%
75856341 1
< 0.1%
68254682 1
< 0.1%

CSN8_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct54753
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11139.80188
Minimum-2464695
Maximum250323151
Zeros12067
Zeros (%)1.2%
Negative17
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:14.585407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2464695
5-th percentile1265
Q12452
median3764
Q37122
95-th percentile25938
Maximum250323151
Range252787846
Interquartile range (IQR)4670

Descriptive statistics

Standard deviation565992.2452
Coefficient of variation (CV)50.80810694
Kurtosis86931.19895
Mean11139.80188
Median Absolute Deviation (MAD)1679
Skewness271.9721158
Sum1.127403649 × 1010
Variance3.203472216 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:14.642671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12067
 
1.2%
2400 489
 
< 0.1%
2600 487
 
< 0.1%
3000 475
 
< 0.1%
2800 469
 
< 0.1%
2200 453
 
< 0.1%
2384 451
 
< 0.1%
2368 447
 
< 0.1%
2616 443
 
< 0.1%
2768 437
 
< 0.1%
Other values (54743) 995832
98.4%
ValueCountFrequency (%)
-2464695 1
< 0.1%
-177880 1
< 0.1%
-114187 1
< 0.1%
-30045 1
< 0.1%
-23521 1
< 0.1%
ValueCountFrequency (%)
250323151 1
< 0.1%
181555960 1
< 0.1%
177082189 1
< 0.1%
164207771 1
< 0.1%
163025773 1
< 0.1%

CSN9_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct28635
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5432.952253
Minimum-29167
Maximum328867050
Zeros11404
Zeros (%)1.1%
Negative11
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:14.695991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-29167
5-th percentile1107
Q12000
median2876
Q34272
95-th percentile9001
Maximum328867050
Range328896217
Interquartile range (IQR)2272

Descriptive statistics

Standard deviation404409.0262
Coefficient of variation (CV)74.43632989
Kurtosis455552.1675
Mean5432.952253
Median Absolute Deviation (MAD)1039
Skewness613.7706632
Sum5498419328
Variance1.635466605 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:14.750674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11404
 
1.1%
2200 688
 
0.1%
2000 657
 
0.1%
1800 656
 
0.1%
2184 653
 
0.1%
2016 643
 
0.1%
1984 643
 
0.1%
2168 628
 
0.1%
2400 605
 
0.1%
2384 600
 
0.1%
Other values (28625) 994873
98.3%
ValueCountFrequency (%)
-29167 1
< 0.1%
-16781 1
< 0.1%
-14664 1
< 0.1%
-14090 1
< 0.1%
-4987 1
< 0.1%
ValueCountFrequency (%)
328867050 1
< 0.1%
146085819 1
< 0.1%
87497885 1
< 0.1%
85128289 1
< 0.1%
76855019 1
< 0.1%

CSN10_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct46563
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10792.89039
Minimum-32337
Maximum2147483647
Zeros12392
Zeros (%)1.2%
Negative10
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:14.805732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-32337
5-th percentile1296
Q12648
median3924
Q36098
95-th percentile19807
Maximum2147483647
Range2147515984
Interquartile range (IQR)3450

Descriptive statistics

Standard deviation2207098.11
Coefficient of variation (CV)204.495555
Kurtosis886376.8505
Mean10792.89039
Median Absolute Deviation (MAD)1532
Skewness916.7903446
Sum1.092294472 × 1010
Variance4.871282068 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:14.854509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12392
 
1.2%
3000 458
 
< 0.1%
2984 444
 
< 0.1%
2600 434
 
< 0.1%
2968 433
 
< 0.1%
2616 430
 
< 0.1%
3200 429
 
< 0.1%
2768 426
 
< 0.1%
2400 422
 
< 0.1%
2800 416
 
< 0.1%
Other values (46553) 995766
98.4%
ValueCountFrequency (%)
-32337 1
< 0.1%
-14988 1
< 0.1%
-10840 1
< 0.1%
-8763 1
< 0.1%
-7323 1
< 0.1%
ValueCountFrequency (%)
2147483647 1
< 0.1%
338015826 1
< 0.1%
221122542 1
< 0.1%
212878289 1
< 0.1%
164756282 1
< 0.1%

OPN1_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct32335
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8244.371449
Minimum-53927742
Maximum675047026
Zeros14534
Zeros (%)1.4%
Negative22
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:15.074782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-53927742
5-th percentile1082
Q12073
median3025
Q34562
95-th percentile10475
Maximum675047026
Range728974768
Interquartile range (IQR)2489

Descriptive statistics

Standard deviation926592.7049
Coefficient of variation (CV)112.3909458
Kurtosis318202.8607
Mean8244.371449
Median Absolute Deviation (MAD)1131
Skewness506.6484062
Sum8343716125
Variance8.585740408 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:15.133435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14534
 
1.4%
2000 657
 
0.1%
2400 609
 
0.1%
2200 572
 
0.1%
2184 571
 
0.1%
2416 570
 
0.1%
2384 562
 
0.1%
1984 554
 
0.1%
2368 549
 
0.1%
2800 548
 
0.1%
Other values (32325) 992324
98.1%
ValueCountFrequency (%)
-53927742 1
< 0.1%
-57380 1
< 0.1%
-54265 1
< 0.1%
-47895 1
< 0.1%
-16113 1
< 0.1%
ValueCountFrequency (%)
675047026 1
< 0.1%
377298233 1
< 0.1%
253893586 1
< 0.1%
223501988 1
< 0.1%
175216690 1
< 0.1%

OPN2_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct46104
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13019.28558
Minimum-215205
Maximum1026125615
Zeros10993
Zeros (%)1.1%
Negative21
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:15.191130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-215205
5-th percentile1669
Q13053
median4253
Q36228
95-th percentile15799
Maximum1026125615
Range1026340820
Interquartile range (IQR)3175

Descriptive statistics

Standard deviation1222449.634
Coefficient of variation (CV)93.89529296
Kurtosis499762.6033
Mean13019.28558
Median Absolute Deviation (MAD)1434
Skewness629.1515913
Sum1.317616797 × 1010
Variance1.494383108 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:15.241753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10993
 
1.1%
3184 476
 
< 0.1%
3200 465
 
< 0.1%
3384 461
 
< 0.1%
2984 453
 
< 0.1%
3152 443
 
< 0.1%
3800 440
 
< 0.1%
3400 438
 
< 0.1%
2968 437
 
< 0.1%
3168 429
 
< 0.1%
Other values (46094) 997015
98.5%
ValueCountFrequency (%)
-215205 1
< 0.1%
-47582 1
< 0.1%
-35698 1
< 0.1%
-31543 1
< 0.1%
-19829 1
< 0.1%
ValueCountFrequency (%)
1026125615 1
< 0.1%
349979454 1
< 0.1%
213535676 1
< 0.1%
170701202 1
< 0.1%
169787828 1
< 0.1%

OPN3_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct38548
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7177.804736
Minimum-417031
Maximum193651938
Zeros12397
Zeros (%)1.2%
Negative19
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:15.291558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-417031
5-th percentile1006
Q11864
median2751
Q34281
95-th percentile12101
Maximum193651938
Range194068969
Interquartile range (IQR)2417

Descriptive statistics

Standard deviation376474.9071
Coefficient of variation (CV)52.44986747
Kurtosis104426.3801
Mean7177.804736
Median Absolute Deviation (MAD)1072
Skewness284.8078183
Sum7264297283
Variance1.417333557 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:15.344530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12397
 
1.2%
1800 702
 
0.1%
2000 694
 
0.1%
2200 679
 
0.1%
1984 632
 
0.1%
2168 620
 
0.1%
1600 609
 
0.1%
1816 607
 
0.1%
1968 603
 
0.1%
1768 601
 
0.1%
Other values (38538) 993906
98.2%
ValueCountFrequency (%)
-417031 1
< 0.1%
-237751 1
< 0.1%
-57708 1
< 0.1%
-29062 1
< 0.1%
-20008 1
< 0.1%
ValueCountFrequency (%)
193651938 1
< 0.1%
124483678 1
< 0.1%
96547765 1
< 0.1%
87636326 1
< 0.1%
87229191 1
< 0.1%

OPN4_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct42152
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13298.42726
Minimum-74467
Maximum2147483647
Zeros11243
Zeros (%)1.1%
Negative10
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:15.398705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-74467
5-th percentile1474
Q12679
median3738
Q35536
95-th percentile13953
Maximum2147483647
Range2147558114
Interquartile range (IQR)2857

Descriptive statistics

Standard deviation3049879.574
Coefficient of variation (CV)229.3413735
Kurtosis485781.5509
Mean13298.42726
Median Absolute Deviation (MAD)1276
Skewness690.6539963
Sum1.345867331 × 1010
Variance9.301765417 × 1012
MonotonicityNot monotonic
2024-04-26T20:50:15.449080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11243
 
1.1%
3000 579
 
0.1%
2600 529
 
0.1%
2800 527
 
0.1%
3200 524
 
0.1%
2784 516
 
0.1%
2384 504
 
< 0.1%
3400 496
 
< 0.1%
2584 494
 
< 0.1%
2768 490
 
< 0.1%
Other values (42142) 996148
98.4%
ValueCountFrequency (%)
-74467 1
< 0.1%
-70822 1
< 0.1%
-36002 1
< 0.1%
-20327 1
< 0.1%
-6586 1
< 0.1%
ValueCountFrequency (%)
2147483647 2
< 0.1%
201571919 1
< 0.1%
168855388 1
< 0.1%
136851599 1
< 0.1%
116776420 1
< 0.1%

OPN5_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct31142
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6282.261363
Minimum-128172
Maximum162680825
Zeros12055
Zeros (%)1.2%
Negative9
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:15.497646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-128172
5-th percentile1132
Q11976
median2830
Q34266
95-th percentile9581.55
Maximum162680825
Range162808997
Interquartile range (IQR)2290

Descriptive statistics

Standard deviation341649.98
Coefficient of variation (CV)54.38328021
Kurtosis115643.3716
Mean6282.261363
Median Absolute Deviation (MAD)1025
Skewness308.3895223
Sum6357962612
Variance1.167247089 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:15.550667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12055
 
1.2%
2000 736
 
0.1%
2200 717
 
0.1%
1984 696
 
0.1%
2184 670
 
0.1%
1800 665
 
0.1%
1968 652
 
0.1%
2384 649
 
0.1%
2216 648
 
0.1%
2400 631
 
0.1%
Other values (31132) 993931
98.2%
ValueCountFrequency (%)
-128172 1
< 0.1%
-75300 1
< 0.1%
-62619 1
< 0.1%
-33466 1
< 0.1%
-8789 1
< 0.1%
ValueCountFrequency (%)
162680825 1
< 0.1%
138191934 1
< 0.1%
134323148 1
< 0.1%
85632380 1
< 0.1%
81422267 1
< 0.1%

OPN6_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct33253
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8257.95465
Minimum-7125690
Maximum272628001
Zeros12363
Zeros (%)1.2%
Negative14
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:15.607010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-7125690
5-th percentile1305
Q12364
median3337
Q34944
95-th percentile10767
Maximum272628001
Range279753691
Interquartile range (IQR)2580

Descriptive statistics

Standard deviation564685.215
Coefficient of variation (CV)68.38075999
Kurtosis120449.7559
Mean8257.95465
Median Absolute Deviation (MAD)1164
Skewness311.5222072
Sum8357463004
Variance3.18869392 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:15.667238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12363
 
1.2%
2600 587
 
0.1%
2400 586
 
0.1%
2584 571
 
0.1%
2200 568
 
0.1%
2216 545
 
0.1%
2384 539
 
0.1%
3000 532
 
0.1%
2800 531
 
0.1%
2784 531
 
0.1%
Other values (33243) 994697
98.3%
ValueCountFrequency (%)
-7125690 1
< 0.1%
-509916 1
< 0.1%
-27193 1
< 0.1%
-14622 1
< 0.1%
-13789 1
< 0.1%
ValueCountFrequency (%)
272628001 1
< 0.1%
243586621 1
< 0.1%
212326692 1
< 0.1%
160076585 1
< 0.1%
109743321 1
< 0.1%

OPN7_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct33034
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7691.907981
Minimum-61813
Maximum389143415
Zeros12620
Zeros (%)1.2%
Negative22
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:15.719270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-61813
5-th percentile1256
Q12279
median3208
Q34728
95-th percentile10297
Maximum389143415
Range389205228
Interquartile range (IQR)2449

Descriptive statistics

Standard deviation584631.8228
Coefficient of variation (CV)76.00608642
Kurtosis239330.9869
Mean7691.907981
Median Absolute Deviation (MAD)1109
Skewness430.0212931
Sum7784595472
Variance3.417943682 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:15.776841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12620
 
1.2%
2600 618
 
0.1%
2200 600
 
0.1%
2400 597
 
0.1%
2568 583
 
0.1%
2184 579
 
0.1%
2800 571
 
0.1%
2384 569
 
0.1%
2368 569
 
0.1%
3000 565
 
0.1%
Other values (33024) 994179
98.2%
ValueCountFrequency (%)
-61813 1
< 0.1%
-51694 1
< 0.1%
-25191 1
< 0.1%
-23733 1
< 0.1%
-18205 1
< 0.1%
ValueCountFrequency (%)
389143415 1
< 0.1%
250934174 1
< 0.1%
163279804 1
< 0.1%
132241231 1
< 0.1%
83905550 1
< 0.1%

OPN8_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct29191
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5425.333186
Minimum-50012
Maximum169669331
Zeros11898
Zeros (%)1.2%
Negative14
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:15.829746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-50012
5-th percentile1184
Q12144
median3051
Q34468
95-th percentile9265
Maximum169669331
Range169719343
Interquartile range (IQR)2324

Descriptive statistics

Standard deviation263170.5009
Coefficient of variation (CV)48.50771223
Kurtosis239880.5188
Mean5425.333186
Median Absolute Deviation (MAD)1068
Skewness445.5810573
Sum5490708451
Variance6.925871257 × 1010
MonotonicityNot monotonic
2024-04-26T20:50:15.881534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11898
 
1.2%
2000 674
 
0.1%
2200 628
 
0.1%
2400 617
 
0.1%
2384 612
 
0.1%
2184 606
 
0.1%
2016 601
 
0.1%
2584 595
 
0.1%
1984 582
 
0.1%
2768 562
 
0.1%
Other values (29181) 994675
98.3%
ValueCountFrequency (%)
-50012 1
< 0.1%
-21146 1
< 0.1%
-17007 1
< 0.1%
-13797 1
< 0.1%
-4847 1
< 0.1%
ValueCountFrequency (%)
169669331 1
< 0.1%
125998965 1
< 0.1%
78032513 1
< 0.1%
72341860 1
< 0.1%
47890065 1
< 0.1%

OPN9_E
Real number (ℝ)

SKEWED  ZEROS 

Distinct33827
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6317.961407
Minimum-95986
Maximum347032611
Zeros11543
Zeros (%)1.1%
Negative16
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:15.932146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-95986
5-th percentile1275
Q12328
median3269
Q34784
95-th percentile10591
Maximum347032611
Range347128597
Interquartile range (IQR)2456

Descriptive statistics

Standard deviation430099.1231
Coefficient of variation (CV)68.07561734
Kurtosis443812.9439
Mean6317.961407
Median Absolute Deviation (MAD)1119.5
Skewness604.0841125
Sum6394092842
Variance1.849852557 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:15.987956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11543
 
1.1%
2416 600
 
0.1%
2200 591
 
0.1%
2600 564
 
0.1%
2000 561
 
0.1%
2384 555
 
0.1%
2168 547
 
0.1%
2400 546
 
0.1%
2616 546
 
0.1%
3000 544
 
0.1%
Other values (33817) 995453
98.4%
ValueCountFrequency (%)
-95986 1
< 0.1%
-67015 1
< 0.1%
-58740 1
< 0.1%
-20730 1
< 0.1%
-13694 1
< 0.1%
ValueCountFrequency (%)
347032611 1
< 0.1%
157151437 1
< 0.1%
113808739 1
< 0.1%
73624765 1
< 0.1%
70155234 1
< 0.1%

OPN10_E
Real number (ℝ)

SKEWED 

Distinct27763
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5338.178789
Minimum-3594871
Maximum334428865
Zeros9789
Zeros (%)1.0%
Negative16
Negative (%)< 0.1%
Memory size15.4 MiB
2024-04-26T20:50:16.044390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3594871
5-th percentile863
Q11484
median2192
Q33361
95-th percentile7948
Maximum334428865
Range338023736
Interquartile range (IQR)1877

Descriptive statistics

Standard deviation441150.5521
Coefficient of variation (CV)82.64064761
Kurtosis348344.291
Mean5338.178789
Median Absolute Deviation (MAD)841
Skewness517.2746803
Sum5402503843
Variance1.946138097 × 1011
MonotonicityNot monotonic
2024-04-26T20:50:16.097083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9789
 
1.0%
1384 875
 
0.1%
1600 840
 
0.1%
1400 828
 
0.1%
1200 789
 
0.1%
1616 784
 
0.1%
1800 782
 
0.1%
1584 778
 
0.1%
1416 771
 
0.1%
1752 766
 
0.1%
Other values (27753) 995048
98.3%
ValueCountFrequency (%)
-3594871 1
< 0.1%
-26734 1
< 0.1%
-22649 1
< 0.1%
-6596 1
< 0.1%
-5008 1
< 0.1%
ValueCountFrequency (%)
334428865 1
< 0.1%
153869286 1
< 0.1%
90484840 1
< 0.1%
86424855 1
< 0.1%
82732240 1
< 0.1%